CN101828903A - Linear detection method for signals in non-free space environment around human body - Google Patents
Linear detection method for signals in non-free space environment around human body Download PDFInfo
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- CN101828903A CN101828903A CN201010154559A CN201010154559A CN101828903A CN 101828903 A CN101828903 A CN 101828903A CN 201010154559 A CN201010154559 A CN 201010154559A CN 201010154559 A CN201010154559 A CN 201010154559A CN 101828903 A CN101828903 A CN 101828903A
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Abstract
The invention belongs to the technical field of signal processing, and relates to a linear detection method for signals in non-free space environment around a human body, which comprises the following steps of: preprocessing received wireless signals and beginning timing; performing primary detection on the received signals by using the conventional linear detection methods respectively, and taking a linear detection method with the priority for detecting a performance curve as a primary detection method; when an electrocardiosignal of the human body meets physical realization conditions, detecting the received signals by using the primary detection method as the optimal detection method, otherwise, detecting the received signals by using an energy detection method as the optimal detection method; and in the process of detecting the received signals by using the optimal detection method, detecting again when the posture of the human body is changed or the time of a timer is greater than a time threshold. The linear detection method effectively avoids the problem that a single detection method cannot treat various channel conditions, improves the efficiency of screening the detection methods, and improves the detection performance in the non-free space environment around the human body.
Description
Technical field
What the present invention relates to is the method in a kind of signal processing technology field, specifically is the linearity test method of signals in non-free space environment around a kind of human body.
Background technology
Wireless device just develops towards miniaturization, personalized direction, and what this was wherein very representative is exactly the development of wireless ad hoc network.In many wireless applications field, medical wireless technology has obtained very fast development.In order to realize the purpose of the instant monitoring of medical treatment, pick off need be positioned over many positions of health and handle the data that these pick offs record in time.So the notion of wireless body area network (WBAN) is suggested.Wireless body area network in the application of medical domain, the physiologic information of wireless device monitoring human that need be by being placed on human body surface, body area network carries out aggregation process.Owing to be to work near human body, parameters such as the signal transmission power in the wireless body area network have been subjected to constraint.This has just proposed higher requirement to the signal detection ability of whole wireless body area network system.For the signal detection under the general wireless free space environment, a lot of different linearity test methods (comprise energy measuring, the circulation spectrum detects matched filtering detection etc.) have been proposed now.
Consider the height random of human motion, in whole testing process, add human motion and estimate as auxiliary.Aspect estimation, people such as Tanmay Pawar have elaborated use human body ECG (electrocardiosignal) signal as the human motion estimation approach in it is published in " Transition Detection in Body MovementActivities for Wearable ECG (in the portable cardiac electricity detecting system transmission of human motion process detect) " on the IEEE magazine, proved the feasibility of using the motion of physiology signal human body; People such as AndrewFort have then specifically studied human motion and attitude variation meeting among " the Characterization of the UltraWideband Body Area Propagation Channel (ultra broadband body territory propagation and channel characteristic) " on the IEEE magazine to the influence that the transmission signal causes, and the material impact of human body attitude to channel around the human body has been described.
In fact wireless signal testing environment and the standard free space around human body is very different.The standard free space refers to and can describe with large scale or small scale mathematical model, the zone of isotropism and similar homogeneous texture the same along each characteristic.Wireless signal in free space satisfies linear additivity, can be described with the appropriate mathematical model.Because each sensing node in the wireless body area network is placed on human body surface, it is very serious that its wireless channel each other is subjected to the influence of human motion and attitude.Though wireless channel also is subjected to the influence of surrounding and antenna self-characteristic in body area network, wherein human body attitude plays important effect.Because for the wireless channel that the sensing node that is placed on body surface by any two constitutes, the motion of human body attitude all can cause the fluctuation of received signal amplitude, change the transmission characteristic of channel.And because the height random and the complexity of human motion, can't use mathematical model modeling and forecasting in addition, therefore promptly do not exist general mode to go to predict the motion of different people, the human body surrounding space be defined as non-measurable free space, after abbreviate non-free space as.
In the non-free space around the human body, owing to introduced the random motion of human body self, therefore whole process can't be described with mathematical model, but in this space, for any infinitely small time dt, human body attitude immobilizes and can obtain a standard free space, and existing a lot of linearity test methods can be used in the free space of this standard.To time dt do be integrated to whole time course after, although the continuous integral result of human body discrete motion belongs to free space, but the introducing of attitude function can cause the random motion parameter and be input to final integral result, so integral result still is non-free space.But because the linearity test method that relates to is available in any one free space of determining constantly in this space, so it stands good in whole non-free space.
Through existing literature search is found, elaborated in " A Survey of SpectrumSensing Algorithms for Cognitive Radio Applications (cognitive radio is used the investigation of intermediate frequency spectrum cognitive method) " of people such as Tevfik Yucek on the IEEE magazine and comprised energy measuring, matched filtering detects, the circulation spectrum detects, cooperative detection is in several interior signal spectrum detection modes commonly used in free space, and concrete detection mode and performance evaluation have been proposed according to present more existing communication protocols, tentatively proved its feasibility.But this technology is unfolded under the wireless standard free space, does not study at the actual channel characteristic in the wireless body area network specially.Wherein any independently linearity test method can only be finished the signal detection under a kind of fixed environment, consider the complexity that human body attitude changes, the method that proposes in this technology can't be tackled the signal detection needs under the changeable wireless environment of changeable human body on every side.
Summary of the invention
The objective of the invention is to overcome the above-mentioned deficiency of prior art, a kind of human body linearity test method of signals in non-free space environment on every side is provided.The present invention is by using specific preprocessing process to obtain can to reflect the quantifiable statistical parameter of received signal characteristic, linearity test mode commonly used in the standard free space is mixed in the testing environment that is applied to human body non-linear space on every side, characteristic according to non-linear space is adjusted statistical parameter, the only detection mode of dynamic selection has been avoided the limitation of any single detection mode under the non-linear space environment; Introduce the mode of estimating human motion by the human body physiological signal simultaneously, in the human motion process, in time adjust selection parameter and detection method, thereby effectively improve the detection performance of system with human motion.
The present invention is achieved by the following technical solutions, the present invention includes following steps:
Step 1 is carried out pretreatment to the wireless signal that receives, and obtains the general parameter and the human ecg signal (ECG) of signal, and picks up counting.
The primary channel feature of described general parameter reflection wireless transmission channel comprises: the priori synchronizing information of signal carrier/interface ratio, signal carrier-to-noise ratio, RSSI (the signal intensity indication of reception) value, channel impulse response function, distribution of multipath time delay probability density function and received signal.
Step 2, according to the general parameter that obtains, use existing linearity test method to carry out Preliminary detection to received signal respectively, obtain every kind of signal spectra feature under the linearity test method, and then obtain the detection performance curve of each signal spectra feature, will detect the preferential linearity test method of performance curve as the primary detection method.
Described existing linearity test method comprises: matched filter method, energy measuring method and circulation spectrum detection method.
Described Preliminary detection, specifically: in the time of 0.5ms-5ms, use existing linearity test method to detect to received signal.
The preferential linearity test method of described detection performance curve is: detect when detection probability is G in the performance curve the minimum pairing linearity test method of signal to noise ratio.
Step 3, the human ecg signal in the extraction step one when human ecg signal satisfies the physics realization condition, uses the primary detection method to detect to received signal as optimum detection methodology; Otherwise, use the energy measuring method to detect to received signal as optimum detection methodology.
Described physics realization condition, be: human ecg signal is done the estimation of human body athletic posture, obtain the relative position of present node node nearest with it, when present node node nearest with it does not stopped by human body, present node node nearest with it has the direct projection path, and human ecg signal satisfies the physics realization condition; Otherwise human ecg signal does not satisfy the physics realization condition.
Step 4 in the process that the use optimum detection methodology detects to received signal, when human body attitude changes, is returned step 1, detects again; Otherwise, execution in step five.
Described human body attitude changes, and is: human ecg signal is greater than the error of 5 jumping human ecg signals.
Step 5 when time of timer during less than time threshold T, uses the optimum detection methodology in the step 3 that wireless body area network is detected; Otherwise, return step 1, detect again.
The span of described time threshold T is: 1s-10s.
Compared with prior art, the present invention has following beneficial effect:
1. changeable and irregular characteristics at the characteristic of channel in the non-free space, the linearity test method that dynamic selection is different, under the changeable channel situation of non-free space circumstance complication, can effectively avoid single detection method can't tackle the problem of various channel situation around the human body.
2. use available general parameter and human ecg signal in two steps, allow human ecg signal have higher priority, can make system make full use of quick selection or rejecting that prior information is carried out method, improved the efficient of detection method screening.
3. it is auxiliary to have added estimation, can dynamically refresh the selection parameter according to the motion conditions of human body, guarantee that in default sense cycle the unexpected variation of human body attitude can not make a big impact to detecting performance, has improved the detection performance under the non-free space around human body.
The specific embodiment
Below embodiments of the invention are elaborated: present embodiment is being to implement under the prerequisite with the technical solution of the present invention, provided detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
Embodiment
Present embodiment may further comprise the steps:
Step 1 is carried out pretreatment to the wireless signal that receives, and obtains the general parameter and the human ecg signal of signal, and picks up counting.
The primary channel feature of described general parameter reflection wireless transmission channel comprises: the priori synchronizing information of signal carrier/interface ratio, signal carrier-to-noise ratio, RSSI value, channel impulse response function, distribution of multipath time delay probability density function and received signal.
Step 2, according to the general parameter that obtains, use existing linearity test method to carry out Preliminary detection to received signal respectively, obtain every kind of signal spectra feature under the linearity test method, and then obtain the detection performance curve of each signal spectra feature, will detect the preferential linearity test method of performance curve as the primary detection method.
Described existing linearity test method comprises: matched filter method, energy measuring method and circulation spectrum detection method.
Described Preliminary detection, specifically: in the time of 1ms, use existing linearity test method to detect to received signal.
Described matched filter method, specifically: the wireless signal that receives is carried out A/D conversion (analog digital conversion), carry out sampling after the convolution with the synchronizing signal of priori, N sampled point sued for peace obtains decision statistic amount T, when T＞γ, there are other nodes in the detection range; Otherwise, there are not other nodes in the detection range, wherein: γ is a decision threshold.
Described energy measuring method, specifically: the wireless signal that receives is carried out pre-filtering, carry out the A/D conversion behind other signals of removal out-of-band noise and vicinity, sue for peace after transformation result carried out square, obtain decision statistic amount T, when T＞γ ', have other nodes in the detection range; Otherwise, there are not other nodes in the detection range, wherein: γ ' is a decision threshold.
Described circulation spectrum detection method, specifically: to the wireless signal Y[n that receives] carry out A/D conversion and FFT (fast Fourier) conversion, transformation result is carried out suing for peace after the correlation calculations, obtain decision statistic amount T, as T＞γ " time, there are other nodes in the detection range; Otherwise, there are not other nodes in the detection range, " be decision threshold wherein: γ.
The preferential linearity test method of described detection performance curve is: detect when detection probability is G in the performance curve the minimum pairing linearity test method of signal to noise ratio.
The detection performance curve that circulation spectrum detection method obtains in the present embodiment is preferential, so circulation spectrum detection method is as the primary detection method.
Step 3, the human ecg signal in the extraction step one when human ecg signal satisfies the physics realization condition, uses the primary detection method to detect to received signal as optimum detection methodology; Otherwise, use the energy measuring method to detect to received signal as optimum detection methodology.
Described physics realization condition, be: human ecg signal is done the estimation of human body athletic posture, obtain the relative position of present node node nearest with it, when present node node nearest with it does not stopped by human body, present node node nearest with it has the direct projection path, and human ecg signal satisfies the physics realization condition; Otherwise human ecg signal does not satisfy the physics realization condition.
Present node and its nearest node are positioned at the trunk both sides in the present embodiment, do not have the direct projection path, so do not satisfy the physics realization condition, select for use the energy measuring method to detect to received signal as optimum detection methodology.
Step 4 is used in the process that the energy measuring method detects signal, when human body attitude changes, returns step 1, detects again; Otherwise, execution in step five.
Described human body attitude changes, and is: human ecg signal is greater than the error of 5 jumping human ecg signals.
Step 5 when time of timer during less than time threshold T, uses the energy measuring method that wireless body area network is detected; Otherwise, return step 1, detect again.
Time threshold T in the present embodiment is 5s.
By relatively finding: in transmit signal energy be-35dbm, promptly under the channel circumstance of abominable signal to noise ratio, and the false-alarm probability condition is when identical, and use present embodiment method uses the resulting detection probability performance of energy measuring method to improve 60%-70% than always.
When wireless environment changes fast, existing single detection mode often can't adapt to the actual detected needs, and the present embodiment method can be adjusted detection method according to the change dynamics of actual detected environment, to reach optimum detection performance, the method for estimating of Yin Ruing can effectively reduce the influence of the variation of human body attitude to the signal detection effect simultaneously, promotes to detect effect.
Claims (8)
1. the linearity test method of signals in non-free space environment around the human body is characterized in that, may further comprise the steps:
Step 1 is carried out pretreatment to the wireless signal that receives, and obtains the general parameter and the human ecg signal of signal, and picks up counting;
Step 2, according to the general parameter that obtains, use existing linearity test method to carry out Preliminary detection to received signal respectively, obtain every kind of signal spectra feature under the linearity test method, and then obtain the detection performance curve of each signal spectra feature, will detect the preferential linearity test method of performance curve as the primary detection method;
Step 3, the human ecg signal in the extraction step one when human ecg signal satisfies the physics realization condition, uses the primary detection method to detect to received signal as optimum detection methodology; Otherwise, use the energy measuring method to detect to received signal as optimum detection methodology;
Step 4 in the process that the received signal of use optimum detection methodology detects, when human body attitude changes, is returned step 1, detects again; Otherwise, execution in step five;
Step 5 when time of timer during less than time threshold T, uses the optimum detection methodology in the step 3 that wireless body area network is detected; Otherwise, return step 1, detect again.
2. the linearity test method of signals in non-free space environment around the human body according to claim 1, it is characterized in that, the primary channel feature of described general parameter reflection wireless transmission channel comprises: the priori synchronizing information of signal carrier/interface ratio, signal carrier-to-noise ratio, RSSI value, channel impulse response function, distribution of multipath time delay probability density function and received signal.
3. the linearity test method of signals in non-free space environment around the human body according to claim 1 is characterized in that the existing linearity test method described in the step 2 comprises: matched filter method, energy measuring method and circulation spectrum detection method.
4. the linearity test method of signals in non-free space environment around the human body according to claim 1, it is characterized in that, Preliminary detection described in the step 2 is: in the time of 0.5ms-5ms, use existing linearity test method to detect to received signal.
5. the linearity test method of signals in non-free space environment around the human body according to claim 1, it is characterized in that, the preferential linearity test method of described detection performance curve is: detect when detection probability is G in the performance curve the minimum pairing linearity test method of signal to noise ratio.
6. the linearity test method of signals in non-free space environment around the human body according to claim 1, it is characterized in that, physics realization condition described in the step 3, be: human ecg signal is done the estimation of human body athletic posture, obtain the relative position of present node node nearest with it, when present node node nearest with it does not stopped by human body, present node node nearest with it had the direct projection path, and human ecg signal satisfies the physics realization condition; Otherwise human ecg signal does not satisfy the physics realization condition.
7. the linearity test method of signals in non-free space environment around the human body according to claim 1 is characterized in that the human body attitude described in the step 4 changes, and is: human ecg signal is greater than the error of 5 jumping human ecg signals.
8. the linearity test method of signals in non-free space environment is characterized in that the span of the time threshold T described in the step 5 is: 1s-10s around the human body according to claim 1.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102178529A (en) * | 2011-03-11 | 2011-09-14 | 清华大学 | Body area network-based respiratory disease remote diagnosis monitoring system |
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| US20100125215A1 (en) * | 2008-11-17 | 2010-05-20 | National Yang-Ming University | Sleep analysis system and method for analyzing sleep thereof |
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Patent Citations (4)
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| US6656125B2 (en) * | 2001-06-01 | 2003-12-02 | Dale Julian Misczynski | System and process for analyzing a medical condition of a user |
| US20090292194A1 (en) * | 2008-05-23 | 2009-11-26 | Corventis, Inc. | Chiropractic Care Management Systems and Methods |
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| 《IEEE COMMUNICATINS SURVEYS & TUTORIALS》 20090331 Tevfik Yücek et al A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications 第11卷, 第1期 2 * |
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