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53results about How to "Improve Spectrum Sensing Performance" patented technology

Cooperative spectrum sensing method based on GEO and LEO double-layer satellite network

The invention discloses a cooperative spectrum sensing method based on a GEO and LEO double-layer satellite network. The cooperative spectrum sensing method comprises three functional modules including a task evaluation module, a strategy scheduling module and an information fusion module. Firstly, in a task evaluation module, a GEO satellite evaluates an overall task according to task input parameters, and the area, the number and the sensing precision of sensing targets are determined; and then, in a strategy scheduling module, the GEO satellite selects a single-satellite spectrum sensing strategy and a multi-satellite cooperative sensing strategy according to whether the single-satellite sensing precision can meet the task evaluation requirement or not. And finally, in an information fusion stage, the GEO respectively summarizes the perception data of each alliance, and judges a plurality of task targets. According to the method, seed satellite selection and coalition game are combined, the task requirements of different levels can be met for multi-target cooperative sensing, the missed detection probability and the false alarm probability which are contradictory in multi-satellite cooperative sensing are considered, the overall error rate of the two probabilities is effectively reduced, and the spectrum sensing performance is improved.
Owner:NANJING UNIV OF POSTS & TELECOMM +1

Method and apparatus for canceling introduced signal and cognitive radio communication apparatus using the same

The present invention relates to a wireless communication system and, more particularly, to a spectrum sensing method in cognitive radio communication. According to an aspect of the present invention, a method of canceling an introduced transmission signal includes generating a first signal, having an inverse phase, using a data transmission signal transmitted by a data transmission unit, adjusting a path and / or an amplitude of the first signal, and generating a first signal, having an inverse phase, using a data transmission signal transmitted by a data transmission unit, adjusting a path and / or an amplitude of the first signal, and canceling a second signal, introduced through a data receiving unit, and the first signal by the data transmission signal.
Owner:ELECTRONICS & TELECOMM RES INST

Cooperative spectrum sensing method based on free probability theory

ActiveCN103795481AEnable Spectrum SensingAccurate Received PowerTransmission monitoringFrequency spectrumWishart distribution
The invention discloses a cooperative spectrum sensing method based on a free probability theory. The cooperative spectrum sensing method is suitable for an MIMO communication environment and includes the steps that received signals of a plurality of antennas of all auxiliary base stations are sampled, and sampled signals are processed in a centralized mode; according to noise variance of all the received sampled signals and channels, by means of the asymptotic freedom characteristic and the Wishart distribution characteristic of a random matrix, the average received signal power (img file=' DDA0000463198220000011. TIF' wi=' 64' he=' 54' / ) of all receiving antennas is solved by the adoption of a free deconvolution algorithm, and namely statistics are detected; according to target false alarm probability pf, a detection threshold value tau is calculated by using MonteCarlo simulation under the condition that only noise exsits; finally (img file=' DDA0000463198220000012. TIF' wi=' 41' he=' 54' / ) is compared with tau to judge whether a main base station sends signals or not. The accurate receiving power can be obtained through the received signals of the auxiliary base stations, and moreover the spectrum sensing performance can be improved effectively particularly under the condition of a low signal to noise ratio and small samples.
Owner:NANJING UNIV OF POSTS & TELECOMM

Non-Gaussian noise suppression method based on energy detection

The invention discloses a non-Gaussian noise suppression method based on energy detection. The non-Gaussian noise suppression method comprises the following steps: (1) establishing a non-Gaussian noise model library; (2) receiving signal data by employing USRP (Universal Software Radio Peripheral), carrying out analysis on amplitude characteristics of the signal data received by the USRP based on an energy detection method, and making a statistics on parameter characteristics of each model in the model library, thereby obtaining a probability density curve distributed by each model; (3) then comparing the obtained probability density curves of the models with graphs in the noise model library, and selecting the noise model with the minimum phase difference and the best matching effect as a background noise; and (4) at last carrying out offset processing on the data containing a primary user signal and on the signal data of the background noise, namely making a subtraction between two signal amplitude values at a same frequency, thereby reducing the amplitude value of a noise signal and improving a signal-to-noise ratio. According to the non-Gaussian noise suppression method disclosed by the invention, the spectrum sensing property can be effectively improved; and the method has an application value in fields such as military communication, information processing and the like.
Owner:CARBON (SHENZHEN) MEDICAL DEVICE CO LTD

Method for sensing OFDM spectrum under conditions of time asynchronization and unknown cyclic prefix length

The invention discloses a method for sensing an OFDM (Orthogonal Frequency Division Multiplexing) spectrum under conditions of time asynchronization and unknown cyclic prefix length. The processing procedure of the method comprises the following steps: at first, sampling a receipt signal from a monitoring channel to obtain a sampled signal; then, computing an autocorrelation function of the sampled signal according to the sampled value in the sampled signal; next, computing test statistic according to an autocorrelation coefficient in the autocorrelation function of the sampled signal under the condition of time asynchronization; and at last, judging whether the monitoring channel is in the idle state or not according to the test statistic and the judgment threshold. The method has the advantages that the spectrum sensing can be carried out by directly using the sampled signal, without the need of time synchronization, so that the computation complexity is reduced effectively. When the cyclic prefix length of an OFDM signal is unknown, the method can still realize the spectrum sensing of the OFDM signal, and further improves the spectrum sensing performance of the OFDM signal.
Owner:NINGBO UNIV

Spectrum sensing method and device under condition of unknown noise variance

The invention discloses a novel spectrum sensing method and device according to the spectrum sensing problem under the condition of an unknown noise variance in practical application. According to the method and device, combined estimation on the state of an authorized user and the noise variance can be achieved. The sensing algorithm is rooted in the Bayes statistical inference principle, the mariginal particle filtering (MPF) technology is adopted, and the unknown noise variance is approached through an iterative estimation mode. The noise variance information obtained through accurate estimation is utilized, the method and device can be conveniently expanded to be applied to (not limited to) a single-node single-antenna sensing system, and the good spectrum sensing performance is obtained (see the attached drawing). The combined estimating and sensing device has good stability, and therefore the device and method can be widely applied to actual cognitive radio system design.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Asynchronous channel perception method with unknown timing

ActiveCN105634634AAvoid complicated signaling interactionImprove realizabilityTransmission monitoringRound complexityTime difference
The invention discloses an asynchronous channel perception method with unknown timing. The asynchronous channel sensing method specifically comprises the following steps: a first step, predicating an existence probability and a perception time difference of a certain PU at a k moment; a second step, updating the existence probability predicted value and the perception time difference via an observation value; a third step, comparing the updated existence probability predicted value with a decision threshold to obtain a state value of the PU; a fourth step, calculating the perception time difference of the PU at the k moment according to the state value; a fifth step, calculating a state value and a weight of a born particle at the k moment according to the perception time difference at a k-1 moment; and a sixth step, judging whether the k moment is the last moment, if so, recording and storing the perception time differences and state values of all moments; and otherwise, iteratively predicting the existence probability and the perception time difference of the PU at a k+1 moment through a particle set at the k moment. The asynchronous channel perception method has the advantages of being suitable for the dynamic spectrum sharing of a heterogeneous wireless network, avoiding the frequent signaling interaction between the PU and SU, reducing the configuration complexity of a CR system and saving the time and the energy cost.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Frequency spectrum detection and unknown noise variance tracking estimation method and device thereof

For a spectrum detection problem in the condition of dynamic unknown noise variance in the practical application, the invention discloses a dynamic state-space system model to reflect an intrinsic mechanism: an authorized user state and a time-varying noise variance are taken as two hidden states, and two-state one-order Markow and auto-regressive models are used to carry out modeling for the dynamic transfer characteristic. On this basis, a novel spectrum sensing method device is designed and provided. The method is rooted in the Bayes statistical inference theory, the marginalized particle filtering technique (in the figure) is employed, and the combined estimation of the authorized user and the noise variance can be realized. Especially, the invention discloses a marginalized particle filter two-level adaptive prediction coefficient adjustment method, the noise variance time-varying characteristic is fully utilized, and the accurate tracking of the noise variance can be realized. The obtained noise variance information is used, the algorithm device can be extended to (but not limited to) a single-node single-antenna sensing system, and good spectrum sensing performance is obtained.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Method for sensing OFDM signal frequency spectrum under condition of time synchronization

The invention discloses a method for sensing an OFDM (Orthogonal Frequency Division Multiplexing) signal frequency spectrum under condition of time synchronization. The method comprises the following processing procedures: sampling a received signal from a supervisory channel to obtain a sampled signal; calculating autocorrelation function of the sampled signal according to a sampled value in the sampled signal; selecting the first to the Ncth autocorrelation coefficients from the autocorrelation function under the condition of time synchronization, and calculating test statistics through utilizing the selected Nc autocorrelation coefficients, wherein Nc denotes the length of cyclic prefix of the OFDM signal; and judging whether the supervisory channel is at idle condition according to the sizes of the test statistics and of a judgment threshold. The method has the advantages that under the condition of time synchronization, the test statistics can be calculated with a plurality of autocorrelation coefficients of which the number is the same as the length of the cyclic prefix, so that the calculation complexity is greatly reduced; and during calculation of the test statistics, the non-negative property of the autocorrelation coefficients corresponding to the cyclic prefix is utilized, so that the sensing ability of the OFDM signal frequency spectrum is effectively increased.
Owner:NINGBO UNIV

Frequency spectrum sensing algorithm based on FLOM covariance matrix and LSTM neural network

The invention discloses a spectrum sensing algorithm based on an FLOM covariance matrix and an LSTM neural network, and belongs to the technical field of cognitive radio, and the algorithm comprises the steps: employing the FLOM to carry out the preprocessing of samples in a training set, building an LSTM neural network model, transmitting the training set for training to the LSTM neural network, carrying out the learning, inputting a test set into the learned LSTM neural network, and obtaining an output result by a softmax module, comparing the output result with a threshold value, and making a decision on whether the main user exists or not. The method is scientific and reasonable, is safe and convenient to use, and improves the detection performance through the powerful capability of the FLOM in the aspect of reducing the influence of non-Gaussian features and the powerful processing capability of the LSTM neural network in the aspect of extracting data time sequence features. The spectrum sensing under the conditions that non-Gaussian noise has no energy and other second-order statistics used for detection is effectively solved, the spectrum sensing performance is improved, and the spectrum sensing method has better performance compared with other networks under the low signal-to-noise ratio.
Owner:NANJING UNIV OF TECH

Weighting consistent optimization based broadband distributed cooperative compressed spectrum sensing method

The invention discloses a weighting consistent optimization based broadband distributed cooperative compressed spectrum sensing method, which is characterized in that a weight corresponding to a sub-band on a spectrum signal in the next time of iterative reconstruction is directly set according to a spectrum signal reconstructed by the current iteration, so that the time cost of a spectrum reconstruction stage is effective reduced, and the timeliness of spectrum sensing is enhanced; and the weight corresponding to each sub-band is set according to different characteristics of each sub-band on the spectrum signal, so that a sub-band, on which an authorized user exists, on the spectrum signal is promoted to generate a signal value so as to reduce the error making possibility of spectrum reconstruction and increase the accuracy of spectrum reconstruction, thereby improving the spectrum sensing performance. Under the condition of reaching the same detection probability, the method requires less compressed sampling data, and the corresponding communication cost and sensing time are reduced, so that a sensing user can traverse the whole frequency band quickly and acquire occupation state information of each sub-band, and thus idle sub-bands can be more effectively utilized.
Owner:NINGBO UNIV

Blind collaboration spectrum sensing method based on soft fusion strategy

The invention discloses a blind collaboration spectrum sensing method based on a soft fusion strategy. The method comprises the following processing flows: firstly, a sampling module in each sensing node samples a receiving signal from the same monitoring channel to obtain a sampling signal corresponding to each sensing node; and then, each sensing node computes the estimation variance of the estimation power and the instantaneous power of the corresponding sampling signal; each sensing node uploads the estimation variance of the estimation power and the instantaneous power of the corresponding sampling signal to a data fusion center; the data fusion center computes the test statistics; and finally, the data fusion center realizes the spectrum sensing by comparing the test statistics withthe judgment threshold, and judges whether an authorized user signal is existent in the monitoring channel; the method disclosed by the invention has the advantage that the hidden terminal problem ofthe sensing node can be well overcome without knowing the authorized user signal and the priori information of a wireless channel, and the sensing performance of the spectrum can be effectively improved.
Owner:NINGBO UNIV

Mobile authorized user spectrum sensing and mobile authorized user geographic position estimating method and device

ActiveCN104469782ADeal effectively with negative impactsImprove Spectrum Sensing PerformanceNetwork planningMultiplexingFrequency spectrum
The invention provides a combined spectrum sensing and authorized user position estimating scheme for solving the problem of mobile authorized user spectrum sensing and mobile authorized user geographic position information estimating. A self-adaptation view expanding method is provided for the first time, the negative effect caused by the nondeterminacy and silence state of the authorized user position is effectively solved, and the spectrum sensing performance is improved. A brand new dynamic state-space model is established based on Bernoulli random finite sets and a Bayes sequential estimation frame, a three-section type Bernoulli smoothing mechanism is designed, the mobile authorized user geographic position is estimated while the authorized user working state is detected, and accordingly the spectrum sensing performance is obviously improved. Meanwhile, spectrum multiplexing of time, frequency and space is achieved, and accordingly the following spectrum resource allocation is further optimized.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Cooperation detection method used for radio-frequency spectrum sensing and based on diversity combination

The invention discloses a cooperation detection method used for radio-frequency spectrum sensing and based on diversity combination. According to the cooperation detection method used for radio-frequency spectrum sensing and based on diversity combination, the frequency spectrum usage condition of a main user is detected by each sensing user in a radio system, one sensing user is selected to serve as an information fusion center, maximal-ratio combination of information, obtained through detection, of the sensing users is conducted through the information fusion center, signal energy existing after combination is obtained, a judgment is made by the information fusion center according to the signal energy of a signal obtained after combination, a main user signal exists if the signal energy of the signal obtained after combination is larger than a judgment threshold, and no main user signal exists if the signal energy of the signal obtained after combination is not larger than the judgment threshold. The radio-frequency spectrum sensing type cooperation detection method based on diversity combination, the judgment sensitivity is high, detection is accurate, and the frequency spectrum sensing performance is greatly improved.
Owner:NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP

Method for sensing OFDM spectrum under conditions of time asynchronization and known cyclic prefix length

The invention discloses a method for sensing an OFDM (Orthogonal Frequency Division Multiplexing) spectrum under conditions of time asynchronization and known cyclic prefix length. The processing procedure of the method comprises the following steps: at first, sampling a receipt signal from a monitoring channel to obtain a sampled signal; then, computing an autocorrelation function of the sampled signal according to the sampled value in the sampled signal; next, computing test statistic according to an autocorrelation coefficient in the autocorrelation function of the sampled signal under the condition of time asynchronization; and at last, judging whether the monitoring channel is in the idle state or not according to the test statistic and the judgment threshold. The method has the advantages that the spectrum sensing can be carried out by directly using the sampled signal, without the need of time synchronization, so that the computation complexity is reduced effectively. During the process of computing the test statistic, due to the use of the nonnegative characteristic of the autocorrelation coefficient corresponding to the cyclic premix part of the OFDM signal in the autocorrelation function of the sampled signal, the spectrum sensing performance of the OFDM signal is improved effectively.
Owner:NINGBO UNIV

OFDM signal spectrum sensing method for time synchronization and no frequency offset situations

The invention discloses an OFDM signal spectrum sensing method for time synchronization and no frequency offset situations. The method comprises the following steps: sampling a received signal from a monitoring channel to obtain a sampling signal; then performing estimation by using the autocorrelation of cyclic prefixs of OFDM signals in the received signal according to the sampling values of all sampling points in the sampling signal in time synchronization and no frequency offset situations to obtain noise power; calculating a covariance matrix of the sampling signal according to the sampling values of the sampling points in the sampling signal; then calculating test statistics according to the noise power and the covariance matrix of the sampling signal; and finally comparing the test statistics with an obtained judgment threshold, and judging whether an authorized user signal exists in the monitoring channel to realize spectrum sensing; and the OFDM signal spectrum sensing method has the advantages of effectively improving the spectrum sensing performance of OFDM signals and ensuring low computational complexity.
Owner:NINGBO UNIV

A Method of Energy Detection Based on Weighted Matrix Filtering

The invention discloses an energy detection method based on weighting matrix filtering. The energy detection method based on weighting matrix filtering comprises the steps that sampling is conducted on signals of a monitored frequency band, so that sampled signals are obtained; signals of all sampling points of the sampled signals are grouped, and each group of signals of the sampling points form a column vector; a weighting matrix used for filtering is obtained through the convex optimization technology according to the frequency range of a monitored channel needing spectrum sensing and the total number of the signals of the sampling points of each group; the energy of the monitored channel needing spectrum sensing is worked out through the weighting matrix and all the column vectors; through comparison between the energy of the monitored channel and a judgment threshold, whether an authorized user signal exists in the monitored channel or not is judged, and spectrum sensing is achieved. The energy detection method based on weighting matrix filtering has the advantages that according to the obtained weighting matrix, the energy of the monitored channel can be directly obtained; in addition, when the order of the weighting matrix used for filtering is equal to the order of an FIR filter, higher spectrum sensing performance can be obtained.
Owner:NINGBO UNIV

Energy detection method based on weighting matrix filtering

The invention discloses an energy detection method based on weighting matrix filtering. The energy detection method based on weighting matrix filtering comprises the steps that sampling is conducted on signals of a monitored frequency band, so that sampled signals are obtained; signals of all sampling points of the sampled signals are grouped, and each group of signals of the sampling points form a column vector; a weighting matrix used for filtering is obtained through the convex optimization technology according to the frequency range of a monitored channel needing spectrum sensing and the total number of the signals of the sampling points of each group; the energy of the monitored channel needing spectrum sensing is worked out through the weighting matrix and all the column vectors; through comparison between the energy of the monitored channel and a judgment threshold, whether an authorized user signal exists in the monitored channel or not is judged, and spectrum sensing is achieved. The energy detection method based on weighting matrix filtering has the advantages that according to the obtained weighting matrix, the energy of the monitored channel can be directly obtained; in addition, when the order of the weighting matrix used for filtering is equal to the order of an FIR filter, higher spectrum sensing performance can be obtained.
Owner:NINGBO UNIV

Energy detection method for restraining direct current bias

The invention discloses an energy detection method for restraining direct current bias. A sensor node is used for performing sampling on signals of a monitoring channel, sampled signals are obtained, then, difference operation is performed on signals of two adjacent sampling points in the sampled signals, a differential signal of the signals of the two adjacent sampling points in the sampled signals is obtained, then the total energy of all the differential signals is calculated, finally, the total energy of all the differential signals is compared with a judgment threshold, whether a user is authorized with the signals in the monitoring channel to achieve spectrum sensing or not is judged, and the spectrum sensing performance is high. In addition, due to the fact that when the judgment threshold is calculated, only noise power and false alarm probability need to be known, power of the direct current bias does not need to be known, in this way, when the power of the direct current bias is increased, the spectrum sensing performance can not be reduced, but when the power of the direct current bias is larger than one fourth of the noise power, the method has the better spectrum sensing performance compared with an existing energy detection method.
Owner:NINGBO UNIV

Method and apparatus for canceling introduced signal and cognitive radio communication apparatus using the same

The present invention relates to a wireless communication system and, more particularly, to a spectrum sensing method in cognitive radio communication. According to an aspect of the present invention, a method of canceling an introduced transmission signal includes generating a first signal, having an inverse phase, using a data transmission signal transmitted by a data transmission unit, adjusting a path and / or an amplitude of the first signal, and generating a first signal, having an inverse phase, using a data transmission signal transmitted by a data transmission unit, adjusting a path and / or an amplitude of the first signal, and canceling a second signal, introduced through a data receiving unit, and the first signal by the data transmission signal.
Owner:ELECTRONICS & TELECOMM RES INST

OFDM (Orthogonal frequency division multiplexing) signal spectrum sensing method for asynchronous time without frequency offset

The invention discloses an OFDM (Orthogonal frequency division multiplexing) signal spectrum sensing method for asynchronous time without frequency offset. Received signals from monitoring channels are sampled, thereby obtaining sampling signals; estimation is carried out through utilization of the autocorrelation of cyclic prefixes of the OFDM signals in the received signals according to sampling values of all sampling points in the sampling signals under the condition that the time is asynchronous and the frequency offset does not exist, thereby obtaining noise power; a covariance matrix of the sampling signals is calculated according to the sampling values of the sampling points in the sampling signals; the test statistics is calculated according to the noise power and the covariance matrix of the sampling signals; and through comparison of the test statistics and an obtained judgment threshold, whether licensed user signals exist in the monitoring channels or not is judged, thereby realizing spectrum sensing. The method has the advantages that the spectrum sensing performance of the OFDM signals can be effectively improved, and the computing complexity is low.
Owner:宁波市大学科技园发展有限公司

A Spectrum Detection and Unknown Noise Variance Tracking Estimation Method and Device

Aiming at the problem of spectrum detection in the case of unknown noise variance dynamics in practical applications, the present invention first proposes a dynamic state space system model to reflect its internal mechanism: the authorized user state and the time-varying noise variance are regarded as two hidden states, and two states are adopted respectively. A first-order Markov and autoregressive model models its dynamic migration properties. On this basis, a novel spectrum sensing method device is designed and proposed. The method is rooted in Bayesian statistical reasoning theory, and adopts marginalized particle filter technology (see attached figure), which can realize joint estimation of authorized users and noise variance. In particular, the present invention proposes a two-stage adaptive prediction coefficient adjustment method for marginalized particle filtering, which can fully utilize the time-varying characteristics of noise variance and can achieve accurate tracking of noise variance. Using the obtained noise variance information, the algorithm device can be extended to (but not limited to) a single-node single-antenna sensing system, and obtains good spectrum sensing performance.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Spectrum sensing method for ofdm signal in the case of time asynchrony and frequency offset

The invention discloses an OFDM signal spectrum sensing method for time synchronization and no frequency offset situations. The method comprises the following steps: sampling a received signal from a monitoring channel to obtain a sampling signal; then performing estimation by using the autocorrelation of cyclic prefixs of OFDM signals in the received signal according to the sampling values of all sampling points in the sampling signal in time synchronization and no frequency offset situations to obtain noise power; calculating a covariance matrix of the sampling signal according to the sampling values of the sampling points in the sampling signal; then calculating test statistics according to the noise power and the covariance matrix of the sampling signal; and finally comparing the test statistics with an obtained judgment threshold, and judging whether an authorized user signal exists in the monitoring channel to realize spectrum sensing; and the OFDM signal spectrum sensing method has the advantages of effectively improving the spectrum sensing performance of OFDM signals and ensuring low computational complexity.
Owner:宁波市大学科技园发展有限公司

Method for sensing OFDM spectrum under conditions of time asynchronization and unknown cyclic prefix length

The invention discloses a method for sensing an OFDM (Orthogonal Frequency Division Multiplexing) spectrum under conditions of time asynchronization and unknown cyclic prefix length. The processing procedure of the method comprises the following steps: at first, sampling a receipt signal from a monitoring channel to obtain a sampled signal; then, computing an autocorrelation function of the sampled signal according to the sampled value in the sampled signal; next, computing test statistic according to an autocorrelation coefficient in the autocorrelation function of the sampled signal under the condition of time asynchronization; and at last, judging whether the monitoring channel is in the idle state or not according to the test statistic and the judgment threshold. The method has the advantages that the spectrum sensing can be carried out by directly using the sampled signal, without the need of time synchronization, so that the computation complexity is reduced effectively. When the cyclic prefix length of an OFDM signal is unknown, the method can still realize the spectrum sensing of the OFDM signal, and further improves the spectrum sensing performance of the OFDM signal.
Owner:NINGBO UNIV

Spectrum sensing method, system and device

The invention discloses a spectrum sensing method, which comprises the following steps: receiving sensing signals obtained by each secondary user, and respectively obtaining sensing signal matrixes corresponding to each secondary user according to the sensing signals; clustering the sensing signal matrixes, and performing matrix recombination on the sensing signal matrixes in each cluster to obtain a recombination matrix; converting the recombination matrix into a covariance matrix, and determining a feature vector of the sensing signal according to the covariance matrix and a Riemannian meanvalue; utilizing a K-medoids clustering algorithm to analyze the feature vector, to judge whether the main user exists or not. The spectrum sensing method can effectively improve the spectrum sensingperformance. The invention also discloses a spectrum sensing system and device and a computer readable storage medium which all have the above technical effects.
Owner:GUANGDONG UNIV OF TECH

A Spectrum Detection Method and Device with Unknown Noise Variance

The invention discloses a novel spectrum sensing method and device according to the spectrum sensing problem under the condition of an unknown noise variance in practical application. According to the method and device, combined estimation on the state of an authorized user and the noise variance can be achieved. The sensing algorithm is rooted in the Bayes statistical inference principle, the mariginal particle filtering (MPF) technology is adopted, and the unknown noise variance is approached through an iterative estimation mode. The noise variance information obtained through accurate estimation is utilized, the method and device can be conveniently expanded to be applied to (not limited to) a single-node single-antenna sensing system, and the good spectrum sensing performance is obtained (see the attached drawing). The combined estimating and sensing device has good stability, and therefore the device and method can be widely applied to actual cognitive radio system design.
Owner:BEIJING UNIV OF POSTS & TELECOMM

A Cooperative Spectrum Sensing Method Based on Free Probability Theory

ActiveCN103795481BEnable Spectrum SensingAccurate Received PowerTransmission monitoringWishart distributionFrequency spectrum
The invention discloses a cooperative spectrum sensing method based on a free probability theory. The cooperative spectrum sensing method is suitable for an MIMO communication environment and includes the steps that received signals of a plurality of antennas of all auxiliary base stations are sampled, and sampled signals are processed in a centralized mode; according to noise variance of all the received sampled signals and channels, by means of the asymptotic freedom characteristic and the Wishart distribution characteristic of a random matrix, the average received signal power (img file=' DDA0000463198220000011. TIF' wi=' 64' he=' 54' / ) of all receiving antennas is solved by the adoption of a free deconvolution algorithm, and namely statistics are detected; according to target false alarm probability pf, a detection threshold value tau is calculated by using MonteCarlo simulation under the condition that only noise exsits; finally (img file=' DDA0000463198220000012. TIF' wi=' 41' he=' 54' / ) is compared with tau to judge whether a main base station sends signals or not. The accurate receiving power can be obtained through the received signals of the auxiliary base stations, and moreover the spectrum sensing performance can be improved effectively particularly under the condition of a low signal to noise ratio and small samples.
Owner:NANJING UNIV OF POSTS & TELECOMM

Joint authorized user perception and link state estimation method and device

ActiveCN103916969BOvercoming non-stationary non-Gaussian propertiesImprove Spectrum Sensing PerformanceWireless communicationFrequency spectrumEstimation methods
Aiming at the problem of spectrum sensing in cognitive radio, the present invention designs a joint spectrum sensing and link state estimation method device. This method for the first time incorporates a link state information between the primary user and the secondary user as another hidden state in spectrum sensing, and thus establishes a general dynamic state space model; based on Bayesian Based on the sequential estimation framework and Bernoulli random finite set theory, a Bernoulli filtering mechanism is designed, which can obtain the joint blind estimation of the primary-secondary link state information while sensing and detecting the working status of the licensed frequency band (algorithm process has been Attached). The method makes full use of the primary-secondary link state information, thereby significantly improving spectrum sensing performance; at the same time, the obtained primary-secondary link state information can also be used for subsequent resource optimization; in addition, the joint user perception and The method and device for estimating link state information is versatile and can be extended to other primary-secondary link state information.
Owner:BEIJING UNIV OF POSTS & TELECOMM

A Dual-Eigen Spectrum Sensing Method Based on Maximum Eigenvalue and Principal Eigenvector

The invention discloses a double-feature spectrum sensing method based on maximum feature values and main feature vectors. The method comprises the steps of calculating the maximum feature values andthe corresponding main feature vectors of covariance matrixes of signals received in a current sensing time slot and a plurality of previous continuous sensing time slots; obtaining the estimated value of the main feature vector of the covariance matrix of a licensed user signal and the estimated value of the maximum feature value of the covariance matrix of white gaussian noise according to the corresponding maximum feature values and the corresponding main feature vectors in the plurality of previous continuous sensing time slots; obtaining a first test statistics value and a second test statistics value according to the maximum feature value, the main feature vector and the two estimated values of the covariance matrix of the signal received in the current sensing time slot; and comparing the first test statistics value with a first judgment threshold, and comparing the second test statistics value with a second judgment threshold, thereby realizing spectrum sensing. The method hasthe advantage of effectively improving the spectrum sensing performance.
Owner:NINGBO UNIV
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