CN114401525A - Interference position detection method and system based on narrow-band noise energy estimation - Google Patents
Interference position detection method and system based on narrow-band noise energy estimation Download PDFInfo
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Abstract
The invention discloses an interference position detection method and a system based on narrowband noise energy estimation, wherein the system is used for implementing the method and comprises the following steps: capturing parallel signals of a plurality of narrow-band channels, and acquiring received signal energy measurement values and demodulation signal-to-interference-and-noise ratio measurement values of the narrow-band channels in a working frequency band; independently estimating the energy measurement value of the received signal of each narrow-band channel to obtain an interference detection quantity estimation value; screening effective receiving channels according to the demodulation signal-to-interference-and-noise ratio measured value and a preset demodulation signal-to-interference-and-noise ratio threshold value; setting an energy detection threshold value by taking the received signal energy mean value of the selected effective receiving channel as an effective signal energy standard value; and detecting whether the interference signal exists in each narrow-band channel. The invention can simultaneously obtain the received signal energy measured values and the demodulated signal-to-interference-and-noise ratio measurements of a plurality of narrow-band channels in the working frequency band, and has higher parallel channel detection efficiency compared with scanning type channel detection.
Description
Technical Field
The invention relates to the technical field of communication signal detection, in particular to an interference position detection method and system based on narrow-band noise energy estimation.
Background
In order to realize the anti-interference of wireless communication, an interference detection technology is an important link in the field of signal detection, and aims to judge whether interference exists and provide necessary prior information for subsequent anti-interference measures.
Typical interference detection techniques include: an energy detection algorithm, a matched filter detection algorithm, a cyclostationary detection method, a covariance matrix decomposition algorithm, and the like.
The energy detection algorithm firstly makes two test hypotheses (H1/H0) according to the existence of the interference signal, then calculates the detection statistic of the received signal, compares the detection statistic with the set threshold value and judges whether the interference signal exists. The energy detection is used as a binary detection method, does not need prior information of interference signals, and is a simple, convenient and effective blind interference detection method. The energy detection cannot give the frequency point position of the interference signal and what type of interference, the influence of background noise is large, and if the noise is not stable, the detection performance is reduced.
And the matched filtering detection algorithm is used for completing the synchronization of the linear filter and the signal to be detected on a time domain and a frequency domain according to some prior information of the main user signal, so that the main user signal is demodulated. If the prior information of the main user signal is unknown, the detection method is invalid.
The cyclostationarity detection method is characterized in that the cyclostationarity of signals is used for detection, the main user signal and the intentional interference signal generally have cyclic frequency, belong to cyclostationary signals, have obvious spectrum correlation function amplitude at non-zero cyclic frequency, and have different cyclic frequencies. The autocorrelation function of the noise has no periodicity and no cyclostationarity, and the amplitude of the spectral correlation function of the noise is zero at a non-zero cyclic frequency. Therefore, the characteristic that the cycle frequencies of the interference signal and the main user signal are different can be utilized to realize the detection and separation of the interference signal. The method is an effective interference detection algorithm, but the algorithm complexity is too high.
The covariance matrix decomposition algorithm comprises the steps of firstly sampling a received signal, obtaining an autocorrelation function, forming a covariance matrix according to the obtained autocorrelation function, and performing characteristic decomposition on the covariance matrix to obtain a maximum eigenvalue lambda max and a minimum eigenvalue lambda min. And taking the lambda max/lambda min as a detection statistic, if the lambda max/lambda min is larger than a threshold value, a main user signal exists, and otherwise, the main user signal does not exist. The method is limited to main user signals with good correlation, and the detection effect on independent signals is poor.
The interference detection method has poor effect of identifying the frequency point position of the interference signal, the energy detection is a signal detection method with a wide application range, and the algorithm is simple and convenient to implement and can accurately detect the existence or nonexistence of the interference signal under a certain condition.
There are two disadvantages to pure energy detection: on one hand, a wireless communication system has a far-near effect, and a large signal and an interference signal cannot be effectively distinguished by pure energy detection, so that interference misjudgment is caused; on the other hand, as binary detection, pure energy detection cannot accurately locate the specific frequency point position of the narrow-band interference.
Disclosure of Invention
Therefore, an object of the present invention is to provide a method and a system for detecting an interference location based on narrowband noise energy estimation, which address the near-far effect of wireless communication, locate a specific frequency point location of an interference channel in a broadband wireless communication system under the condition of large-range fluctuation of received signal energy, and perform narrowband noise energy estimation and interference location detection based on a broadband channelized receiver, continuous mean detection amount estimation and a dynamic threshold detection algorithm, thereby obtaining an accurate channel interference detection result.
In order to achieve the above object, the method for detecting an interference position based on narrowband noise energy estimation of the present invention comprises the following steps:
obtaining parallel signals of a plurality of narrow-band channels, and obtaining received signal energy measurement values RSSI of the narrow-band channels in an operating frequency bandfAnd demodulating SINR measurementsf；
Received signal energy measurement RSSI for each narrowband channelfCarrying out independent estimation and continuous mean value filtering to be used as the interference detection quantity estimated value RSSI of the current channelf_est；
Demodulating SINR measurementfComparing with a preset demodulation signal to interference plus noise ratio threshold value SINR _ thr, and screening effective receiving channels;
taking the received signal energy mean value of the selected effective receiving channel as an effective signal energy standard value RSSI _ signal, and setting an energy detection threshold value according to the effective signal energy standard value; the RSSI of the interference detection quantity estimated value in each narrow-band effective receiving channelfAnd comparing est with an energy detection threshold value, and judging whether an interference signal exists.
It is further preferred that the screening of the effective reception channels comprises demodulating the SINR measurements SINRfAnd comparing the channel with a preset demodulation signal to interference plus noise ratio threshold value SINR _ thr, wherein the channel exceeding the demodulation signal to interference plus noise ratio threshold value SINR _ thr is used as an effective receiving channel CH _ signal, and the receiving channel lower than the demodulation signal to interference plus noise ratio threshold value SINR _ thr is used as an ineffective receiving channel CH _ interference.
Further preferably, the energy detection threshold is the sum of a valid signal energy criterion RSSI _ signal and a false alarm tolerance.
Further preferably, the energy detection threshold is calculated according to the following formula:
wherein, RSSI _ thr is an energy detection threshold; pfaThe false alarm probability is taken as 0.001; n is the statistical number of the significant statistics; RSSI _ signal is an effective signal energy standard value; the Q function is expressed as
。
Further preferably, the determining whether the interference signal exists includes the following steps:
the RSSI of the interference detection quantity estimated valuefEst is carried out with the set energy detection thresholdAnd comparing, if the interference detection quantity estimated value of the channel interference signal is greater than the energy detection threshold, judging that the channel has the interference signal, and if the interference detection quantity estimated values of a plurality of interference signals are less than or equal to the energy detection threshold, judging that the channel has no interference signal.
Further preferably, the method further comprises performing statistical filtering output on the detection result, wherein the statistical filtering output comprises the following steps:
setting a plurality of detection windows in a detection period, carrying out statistical filtering on a plurality of interference detection results, and carrying out abnormal value filtering by adopting relative statistics.
Further preferably, the RSSI for obtaining the received signal energy measurements of a plurality of narrowband channels within the operating frequency bandfThe energy measurement is carried out by adopting a time domain integration or frequency domain transformation mode, wherein the time domain integration is to carry out integration and mean value quantization on a plurality of sample values of a received signal; the frequency domain transformation mode is to perform FFT transformation on the received signal, and the energy measurement value of the received signal of the channel is represented by the mean value of the narrowband signal energy of the frequency domain.
The invention provides an interference position detection system based on narrowband noise energy estimation, which comprises an AD conversion module, an RSSI measurement module, an RSSI estimation module, an SINR measurement module, a PMF effective channel mask estimation module, a dynamic threshold estimation module and an interference position detection module, wherein the RSSI measurement module is used for measuring the RSSI of a signal to noise ratio (SINR) signal;
the AD conversion module is used for receiving broadband wireless signals input by the radio frequency front end and outputting broadband wireless signals of a digital domain;
the RSSI measuring module is used for carrying out multi-channel parallel energy detection on the broadband wireless signals in the digital domain to obtain the RSSI of the received signal energy measured values of a plurality of narrow-band channels in the working frequency bandf；
The RSSI estimation module is used for measuring the received signal energy RSSI of each narrow-band channelfCarrying out independent estimation and continuous mean value filtering to be used as the interference detection quantity estimated value RSSI of the current channelf_est；
The SINR measuring module is used for measuring the signal to interference plus noise ratio of the low-speed pulse signals input by each channel to obtain a solutionSINR (signal to interference plus noise ratio) measurement valuef；
The PMF effective channel mask estimation module is used for demodulating the SINR measured value SINRfComparing with a preset demodulation signal to interference plus noise ratio threshold value SINR _ thr, and screening effective receiving channels;
the dynamic threshold estimation module is used for taking the received signal energy mean value of the selected effective receiving channel as an effective signal energy standard value RSSI _ signal and setting an energy detection threshold according to the effective signal energy standard value;
an interference position detection module for estimating the interference detection amount RSSI in each narrow-band effective receiving channelfAnd comparing est with an energy detection threshold value, and judging whether an interference signal exists.
Further preferably, the system also comprises a synchronous acquisition module and a multi-path signal extraction module; the synchronous acquisition module is used for performing sliding autocorrelation on the input broadband wireless signals to obtain the optimal sampling time of each channel, and the optimal sampling time is used for extracting the pulse signals of each channel.
The multi-channel signal extraction module is used for extracting the input high-speed digital signals after obtaining the optimal sampling time, and obtaining the low-speed digital signals of each narrow-band channel for subsequent multi-channel signal measurement and estimation.
Further preferably, the system further comprises a statistical filtering module, wherein the statistical filtering module is used for setting a plurality of detection windows in the detection period, performing statistical filtering on the multiple interference detection results, and performing abnormal value filtering by using relative statistics.
Compared with the prior art, the interference position detection method and system based on the narrow-band noise energy estimation at least have the following advantages:
1. the interference position detection method and system based on narrow-band noise energy estimation provided by the invention adopt the channelized receiver to capture the parallel signals of a plurality of narrow-band channels, can simultaneously obtain the received signal energy measured values and the demodulated signal-to-interference-and-noise ratio measured values of the plurality of narrow-band channels in the working frequency band, and have higher parallel channel detection efficiency compared with scanning type channel detection.
2. Compared with the simple energy detection, the interference position detection method and the system based on the narrow-band noise energy estimation provided by the invention have excellent environmental adaptability, can detect the narrow-band channel interference under the conditions of no signal, small signal and large signal, and simultaneously provide the interference detection and the interference position detection results.
3. The interference position detection method and system based on the narrow-band noise energy estimation, provided by the invention, take the channel exceeding the threshold value of the demodulation signal-to-interference-and-noise ratio as an effective receiving channel, and take the mean value of the received signal energy of the effective receiving channel and the false alarm probability as the interference detection threshold value. Therefore, the dynamic threshold estimation quantity is more accurate than the full frequency domain energy mean value estimation under the condition of narrow-band noise.
Drawings
Fig. 1 is a flowchart of an interference location detection method based on narrowband noise energy estimation according to the present invention.
Fig. 2 is a schematic structural diagram of an interference position detection system based on narrowband noise energy estimation according to the present invention.
Fig. 3 is a flow chart of interference location detection based on narrowband noise energy estimation in an embodiment of the invention.
Fig. 4 is a schematic diagram of narrowband interference location detection of the interference location detection system based on narrowband noise energy estimation provided by the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and the detailed description.
As shown in fig. 1, an embodiment of an aspect of the present invention provides an interference position detection method based on narrowband noise energy estimation, including the following steps:
s1, acquiring parallel signals of a plurality of narrow-band channels, and acquiring received signal energy measurement values RSSI of a plurality of narrow-band channels in an operating frequency bandfAnd demodulating SINR measurementsf；
S2, RSSI of received signal energy measurement value of each narrow-band channelfPerforming independent estimation and continuous mean filteringInterference detection quantity estimation value RSSI for current channelf_est；
S3, demodulating the SINR measured valuefComparing with a preset demodulation signal to interference plus noise ratio threshold value SINR _ thr, and screening effective receiving channels;
s4, taking the received signal energy mean value of the selected effective receiving channel as an effective signal energy standard value RSSI _ signal, and setting an energy detection threshold value according to the effective signal energy standard value; the RSSI of the interference detection quantity estimated value in each narrow-band effective receiving channelfAnd comparing est with an energy detection threshold value, and judging whether an interference signal exists.
In S1, parallel signals of a plurality of narrowband channels are acquired, and parallel signal acquisition of the plurality of narrowband channels is performed based on the wideband channelized receiver. Obtaining received signal energy measurements RSSI for a plurality of narrowband channels within an operating frequency bandfAnd demodulating SINR measurementsfThe method specifically comprises the following two aspects: a. obtaining a received signal energy measurement RSSIf。
Narrow band channel CHfReceived signal energy measurement RSSI offIs to the received signal Y which is amplified by radio frequency and output by ADf(t) performing an energy measurement. Optionally, energy measurement may be performed by time-domain integration or frequency-domain transformation, where time-domain integration is to integrate and mean-quantize a plurality of sample values of the received signal; the frequency domain transform is to perform FFT on the received signal, and represent the received signal energy of the channel by the mean value of the narrowband signal energy in the frequency domain.
Receiving signal Yf(t) the energy detection process, formulated as follows:
Yf(t) = s (t) + n (t) + j (t) (formula 1)
Wherein s (t), n (t), j (t) are respectively useful signal, background noise and interference signal; l is the number of sampling points, i is the serial number of the sampling points, namely any one sampling point;
a received signal captured at an arbitrary sampling point i; RSSIfIs a received signal energy measurement; when the interference signal j (t) is large enough, the total power of the received signal can be considered to be approximately the interference signal strength.
b. The specific steps for obtaining the demodulation signal-to-interference-and-noise ratio measurement value are as follows:
for a digital communication system, the signal to interference plus noise ratio measurement can be based on known pulse signal structure information, statistics of signal energy and noise energy are respectively carried out, and the ratio of the signal energy to the noise energy is the signal to interference plus noise ratio.
Optionally, the signal to interference plus noise ratio in the frequency hopping communication system is measured as follows:
In the formula, SINRfFor demodulating SINR measurements, counted at frequency points, Ef dutyMean value of energy in pulse occupancy period, Ef emptyAnd K is the average value of the energy of the idle period of the pulse, and the frequency of the frequency pulse f in the frequency spectrum detection period.
Received signal energy measurement RSSI for each narrowband channel in S2fIndependent estimation is carried out, continuous mean value filtering is carried out, and relatively stable received signal energy level estimation is obtained and is used as the interference detection quantity estimation value RSSI of the current channelf_est。
The interference detection quantity estimation is the received signal energy measured value RSSI of each narrow-band channelfIndependent estimation is carried out, continuous mean value filtering is carried out, and relatively stable received signal energy level estimation is obtained and is used as the interference detection quantity estimation value RSSI of the current channelf_est。
The estimation process of the channel interference detection quantity is expressed by the following formula:
Wherein RSSIfEst is the interference detection estimator counted by frequency point, WdetectFor the detection window length, N _ pulse is the number of pulses per unit detection window; RSSIi fIs the measured value of the received signal energy of the ith pulse of the f frequency point.
S3, SINR measured value according to demodulation signal-to-interference-and-noise ratiofAnd a preset demodulation signal to interference plus noise ratio threshold value SINR _ thr, and screening effective receiving channels.
Preferably, the screening of the effective receiving channels comprises demodulating the SINR measurement valuefAnd comparing the channel with a preset demodulation signal to interference plus noise ratio threshold value SINR _ thr, wherein the channel exceeding the demodulation signal to interference plus noise ratio threshold value SINR _ thr is used as an effective receiving channel CH _ signal, and the receiving channel lower than the demodulation signal to interference ratio threshold value is used as an invalid receiving channel CH _ interference.
Under the condition of constant envelope modulation, the signal energy mean values of all narrow-band channels are the same, so that the received signal energy mean value of each effective receiving channel can be used as an effective signal energy standard value RSSI _ signal.
In the formula, RSSI _ signal is an effective signal energy standard value, and F is the total number of frequency point sets in a working frequency band; PMFfAnd estimating a function for the mask to extract effective elements in the set which meet the defined condition.
S4, taking the received signal energy mean value of the selected effective receiving channel asSetting an energy detection threshold according to the effective signal energy standard value RSSI _ signal; the RSSI of the interference detection quantity estimated value in each narrow-band effective receiving channelfAnd comparing est with an energy detection threshold value, and judging whether an interference signal exists.
Further preferably, the energy detection threshold is set as a sum of a valid signal energy criterion RSSI _ signal and a false alarm tolerance.
Further preferably, in an actual communication environment, energy levels of the wireless signal and the background noise may fluctuate, and if the interference detection threshold completely depends on the estimated value of the current signal energy, a false detection problem with a certain probability may be generated, that is, the signal and noise energy is greater than the interference detection threshold. To reduce the false alarm probability (P)fa) The interference detection threshold may be given by a tolerance of the false alarm probability, as follows:
the detection threshold is calculated according to the following formula:
Wherein, RSSI _ thr is an energy detection threshold; pfaFor false alarm probability, it is usually taken to be 0.001; n is the statistical number of the significant statistics; RSSI _ signal is an effective signal energy standard value; the Q function is expressed as
。
Further preferably, the detecting whether there is an interference signal in each narrowband channel includes: the RSSI of the interference detection quantity estimated value of each narrow-band channelfComparing est with a set detection threshold value, and judging whether an interference signal exists; and if the energy of the interference signals is greater than the detection threshold, judging that the channel has interference H1, and if the energy of a plurality of interference signals is less than or equal to the detection threshold, judging that the channel does not have interference H0.
The a priori assumption of the narrowband channel interference decision H1/H0 is as follows:
In the formula, CQIf is an interference position detection result and indicates whether or not an interference signal exists in the f-th channel.
Further preferably, the method further comprises performing statistical filtering output on the detection result, wherein the statistical filtering output comprises the following steps: and setting a plurality of detection windows in the detection period, performing statistical filtering on the multiple interference detection results, and filtering abnormal detection values.
In order to prevent false detection, a plurality of detection windows are set in a detection period, the interference detection results of M times are subjected to statistical filtering, abnormal detection values are filtered, and the reliability of interference position detection is further ensured.
Statistical filtering employs a relative statistic rel _ Stat for outlier filtering, as follows:
In the formula, CQIfFor the interference position detection output result, rel _ Stat is relative statistic, rel _ thr is relative statistic threshold value, usually taking the number value of 0.9-1, M is the interference detection number in the detection period,
and obtaining the detection result of the ith interference detection position of the f interference detection point.
As shown in fig. 2, the present invention further provides an interference position detection system based on narrowband noise energy estimation, which includes an AD conversion module, an RSSI measurement module, an RSSI estimation module, an SINR measurement module, a PMF effective channel mask estimation module, a dynamic threshold estimation module, and an interference position detection module;
the AD conversion module is used for receiving broadband wireless signals input by the radio frequency front end and outputting broadband wireless signals of a digital domain; the AD conversion receives a broadband wireless signal input by a radio frequency front end, and outputs a high-speed digital signal after low-pass filtering and analog-to-digital conversion.
The RSSI measuring module is used for carrying out multi-channel energy detection on the output high-speed digital signal to obtain the RSSI of the received signal energy measured values of a plurality of narrow-band channels in the working frequency bandf。
The RSSI measurement module carries out multi-channel parallel energy detection on the broadband wireless signals in the digital domain and outputs multi-channel energy measurement results, and the energy measurement can adopt a time domain integration and frequency domain transformation method.
An RSSI estimation module for measuring the received signal energy RSSI of each narrow-band channelfIndependent estimation is carried out, continuous mean value filtering is carried out, and a stable receiving signal energy level estimation value is obtained and is used as the interference detection quantity estimation value RSSI of the current channelf_est；
The system also comprises a synchronous acquisition module, under the condition of prior information (spread/frequency hopping synchronous sequence) of the known communication system, the synchronous acquisition module performs sliding autocorrelation on the input broadband wireless signal, namely the high-speed digital signal output by the AD conversion module, so as to obtain the optimal sampling time of each channel for extracting the pulse signal of each channel.
And the multi-channel signal extraction module extracts the input high-speed digital signals at the information rate after obtaining the optimal sampling moment, obtains the low-speed digital signals of each narrow-band channel, is used for subsequent multi-channel signal measurement and estimation, and outputs multi-channel code element signals.
SINR measuring module for multi-channel SINR measurement of low-speed pulse signal input by each channel to obtain demodulation SINR measured valuef。
A PMF effective channel mask estimation module for estimating SINR according to the demodulated signal-to-interference-and-noise ratiofAnd a preset demodulation signal to interference plus noise ratio threshold value SINR _ thr, and screening effective receiving channels; filtering of invalid channels is completed.
The PMF effective channel mask estimation module carries out threshold judgment on the demodulation signal-to-interference-and-noise ratio measured value of each channel, if the SINR is detected, the estimation module judges the channelfThe decision is 1 when the SINR _ thr is more than or equal to the threshold value, which indicates that the transmission channel is effective; if the SINR isf< SINR _ thr, the decision is 0, which indicates that the transmission channel has no effective signal. SINRfTo demodulate the SINR measurement; SINR _ thr is a preset demodulation signal to interference plus noise ratio threshold value; the PMF effective channel mask estimation module is used for filtering out ineffective channels for effective signal energy statistics.
The dynamic threshold estimation module is used for setting a detection threshold by taking the received signal energy mean value of the selected effective receiving channel as an effective signal energy standard value RSSI _ signal; and after the PMF invalid channel filtering, the received signal energy mean value of each effective receiving channel of the dynamic threshold estimation module is used as an effective signal energy standard value RSSI _ signal. In order to reduce false alarm probability P caused by wireless signal energy fluctuationfaThe energy detection threshold RSSI _ thr may be given an estimate by a tolerance value of the false alarm probability.
And the interference position detection module is used for detecting whether the interference signals exist in each narrowband channel according to the detection threshold. Within the detection window, an interference position detection module receives an interference detection quantity estimated value RSSIfEst and energy detection threshold RSSI _ thr2 detection inputs and makes an interference decision.
Further preferably, the device further comprises a statistical filtering module, wherein the statistical filtering module is used for setting a plurality of detection windows in the detection period, performing statistical filtering on the multiple interference detection results, and filtering the abnormal detection values. Carrying out relative statistic estimation on the multiple detection results, and outputting a determined detection result if the relative statistic is larger than a threshold value for removing abnormal detection values; and outputting a multi-channel interference detection result. Through the processing of the measuring module and the filtering module, the interference position detection system can output a relatively sensitive and reliable interference position detection result.
Fig. 3 is a flow chart of an exemplary embodiment of the detection method and system provided in the present invention, which is implemented and includes the following steps:
detecting whether the statistical filtering window is finished or not after starting, and if the statistical filtering window is Y, detecting for multiple times and performing statistical filtering; checking whether the channel detection window is finished; if the channel detection window is Y, performing dynamic threshold estimation on the interference detection quantity estimated value, performing interference position detection, and if the interference position detection is not finished, starting to perform the following steps:
1) received signal energy measurement
The received signal energy measurement is to perform multi-channel parallel energy detection on the broadband wireless signal in the digital domain and output a measured value of the received signal energy. The received signal energy measurement may employ time domain integration and frequency domain transformation methods as described in the foregoing method embodiments.
2) Channel interference detection quantity estimation
In the detection window, the channel interference detection quantity estimation carries out continuous mean filtering on the energy measurement input by each channel to obtain a relatively stable received signal energy level estimation which is used as an interference detection quantity estimation value RSSIfEst; the channel interference detection amount estimation method is as described in the foregoing method embodiments.
3) Received signal synchronization acquisition
Under the condition of prior information (spreading/hopping frequency synchronization sequence) of a known communication system, synchronous capture performs sliding autocorrelation on an input broadband wireless signal to obtain the optimal sampling time of each channel for pulse signal extraction of each channel, if the signal synchronous capture is N, the background noise is used as a mask estimation threshold to indicate that the synchronous signal is not captured, and if the signal synchronous capture is Y, the multipath signal extraction is performed.
4) Multi-path signal decimation
After the optimal sampling time is obtained, the multi-channel signal extraction extracts the input high-speed digital signals at the information rate, and low-speed digital signals of each narrow-band channel are obtained for subsequent multi-channel signal measurement and estimation.
5) Demodulation signal to interference plus noise ratio measurement
The demodulation signal-to-interference-and-noise ratio measurement is used for measuring the signal-to-interference-and-noise ratio of the low-speed pulse signals input by each channel, the statistics of signal energy and noise energy is respectively carried out based on the known pulse signal structure information, and the ratio of the signal energy to the noise energy is the signal-to-interference-and-noise ratio. Alternatively, the demodulation signal to interference plus noise ratio measurement method is as described in the previous method embodiment.
6) Efficient channel mask PMF estimation
The PMF effective channel mask estimation carries out threshold judgment on the demodulation signal-to-interference-and-noise ratio measured value, if SINR isfThe decision is 1 when the SINR _ thr is more than or equal to the threshold value, which indicates that the transmission channel is effective; if the SINR isf< SINR _ thr, the decision is 0, which indicates that the transmission channel has no effective signal. The PMF effective channel mask estimation module is used for filtering out ineffective channels for effective signal energy statistics.
7) Effective signal energy estimation
After the PMF invalid channel filtering, the effective signal energy estimation adopts the received signal energy mean value of each effective receiving channel as an effective signal energy standard value RSSI _ signal.
8) Dynamic threshold estimation
In order to reduce false alarm probability P caused by wireless signal energy fluctuationfaThe energy detection threshold RSSI _ thr may be given an estimate by a tolerance value of the false alarm probability. The dynamic threshold estimation method is as described in the foregoing method embodiments.
9) Interference location detection
In the detection window, when detecting the interference position, receiving an interference detection quantity estimated value RSSIf _ est and an energy detection threshold value RSSI _ thr2 detection inputs, and performing interference judgment. The method for detecting the interference position is as described in the foregoing method embodiments.
10) Statistical filtering
In order to eliminate the problems of interference false detection and false alarm to the maximum extent, the invention also provides a statistical filtering technology, relative statistic estimation is carried out on the detection results of N times, and the determined detection result is output only if the relative statistic is larger than a threshold value and is used for removing the abnormal detection value. The statistical filtering method is as described in the foregoing method embodiments.
Through the processing of the measuring module and the filtering module, the interference position detection system can output a relatively sensitive and reliable interference position detection result.
As shown in fig. 4, which is a schematic diagram of detecting a narrowband interference position, signals of 3 peaks in a dark gray band in the diagram are detected interference signals, a uniform light gray waveform below a dotted line is an effective signal, and an overlapping portion of the interference signal and the effective signal is an interference position.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (10)
1. An interference position detection method based on narrow-band noise energy estimation is characterized by comprising the following steps:
obtaining parallel signals of a plurality of narrow-band channels, and obtaining received signal energy measurement values RSSI of the narrow-band channels in an operating frequency bandfAnd demodulating SINR measurementsf；
Received signal energy measurement RSSI for each narrowband channelfCarrying out independent estimation and continuous mean value filtering to be used as the interference detection quantity estimated value RSSI of the current channelf_est；
Demodulating SINR measurementfComparing with a preset demodulation signal to interference plus noise ratio threshold value SINR _ thr, and screening effective receiving channels;
taking the received signal energy mean value of the selected effective receiving channel as an effective signal energy standard value RSSI _ signal, and setting an energy detection threshold value according to the effective signal energy standard value; the RSSI of the interference detection quantity estimated value in each narrow-band effective receiving channelfAnd comparing est with an energy detection threshold value, and judging whether an interference signal exists.
2. The method of claim 1, wherein the step of filtering the effective received channels comprises demodulating SINR measurementsMagnitude SINRfAnd comparing the received signal with a preset demodulation signal to interference plus noise ratio threshold value SINR _ thr, wherein the receiving channel exceeding the demodulation signal to interference plus noise ratio threshold value SINR _ thr is used as an effective receiving channel CH _ signal, and the receiving channel lower than the demodulation signal to interference plus noise ratio threshold value is used as an ineffective receiving channel CH _ interference.
3. The method of claim 1, wherein the energy detection threshold is a sum of a valid signal energy criterion RSSI _ signal and a false alarm margin.
4. The interference location detection method based on narrowband noise energy estimation of claim 3, characterized in that the energy detection threshold is calculated according to the following formula:
wherein, RSSI _ thr is an energy detection threshold; pfaThe false alarm probability is taken as 0.001; n is the statistical number of the significant statistics; RSSI _ signal is the mean value of the effective received signal; the Q function is expressed as
。
5. The method for detecting the interference position based on the narrowband noise energy estimation of claim 1, wherein the method for determining whether the interference signal exists comprises the following steps:
the RSSI of the interference detection quantity estimated valuefComparing est with a set energy detection threshold, if the interference detection quantity estimated value of the channel interference signal is greater than the energy detection threshold, judging that the channel has the interference signal, and if the interference detection quantity estimated values of a plurality of interference signals are less than or equal to the energy detection threshold, judging that the channel has no interference signal.
6. The interference position detection method based on narrowband noise energy estimation according to claim 1, further comprising performing a statistical filtering output on the detection result, wherein the statistical filtering output comprises the following steps:
setting a plurality of detection windows in a detection period, carrying out statistical filtering on a plurality of interference detection results, and carrying out abnormal value filtering by adopting relative statistics.
7. The method of claim 1, wherein the obtaining the RSSI is performed for a plurality of narrow-band channels within an operating bandfThe energy measurement is carried out by adopting a time domain integration or frequency domain transformation mode, wherein the time domain integration is to carry out integration and mean value quantization on a plurality of sample values of a received signal; the frequency domain transformation mode is to perform FFT transformation on the received signal, and the energy measurement value of the received signal of the channel is represented by the mean value of the narrowband signal energy of the frequency domain.
8. An interference position detection system based on narrow-band noise energy estimation is characterized by comprising an AD conversion module, an RSSI measurement module, an RSSI estimation module, an SINR measurement module, a PMF effective channel mask estimation module, a dynamic threshold estimation module and an interference position detection module;
the AD conversion module is used for receiving broadband wireless signals input by the radio frequency front end and outputting broadband wireless signals of a digital domain;
the RSSI measuring module is used for carrying out multi-channel parallel energy detection on the broadband wireless signals in the digital domain to obtain the RSSI of the received signal energy measured values of a plurality of narrow-band channels in the working frequency bandf；
The RSSI estimation module is used for measuring the received signal energy RSSI of each narrow-band channelfCarrying out independent estimation and continuous mean value filtering to be used as the interference detection quantity estimated value RSSI of the current channelf_est；
The SINR measuring module is used for carrying out signal processing on the low-speed pulse signals input by each channelMeasuring the dry-to-noise ratio to obtain the measured value SINR of the demodulated signal-to-interference-and-noise ratiof；
The PMF effective channel mask estimation module is used for demodulating the SINR measured value SINRfComparing with a preset demodulation signal to interference plus noise ratio threshold value SINR _ thr, and screening effective receiving channels;
the dynamic threshold estimation module is used for taking the received signal energy mean value of the selected effective receiving channel as an effective signal energy standard value RSSI _ signal and setting an energy detection threshold according to the effective signal energy standard value;
an interference position detection module for estimating the interference detection amount RSSI in each narrow-band effective receiving channelfAnd comparing est with an energy detection threshold value, and judging whether an interference signal exists.
9. The interference location detection system based on narrowband noise energy estimation of claim 8, further comprising a synchronization acquisition module and a multipath signal extraction module; the synchronous acquisition module is used for performing sliding autocorrelation on the input broadband wireless signals to obtain the optimal sampling time of each channel;
and the multi-path signal extraction module is used for extracting the input high-speed digital signals after obtaining the optimal sampling time, obtaining the low-speed digital signals of each narrow-band channel and carrying out multi-path signal measurement and estimation.
10. The interference position detection system based on narrowband noise energy estimation of claim 8, further comprising a statistical filtering module, wherein the statistical filtering module is configured to set a plurality of detection windows in a detection period, perform statistical filtering on a plurality of interference detection results, and perform outlier filtering using the relative statistics.
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