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Structured Signal Detection Method And Implementation Based On Block Compressed Sensing Theory

Posted on:2016-06-10Degree:MasterType:Thesis
Country:ChinaCandidate:C Y BiFull Text:PDF
GTID:2298330467991975Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
Spectrum sensing is one of the most important tasks in cognitive radio system, how to detect the broad-band signal in many target, has become a bottleneck for wideband spectrum detection. Compressed sensing theory was proposed to bring a breakthrough in the reform to solve this problem, but the current research studies on compressed sensing applied to signal processing has not entered a substantive stage.Based on the hardware sampling platform of the compressed sensing which set up by random modem theory, this paper firstly studies hardware sampling functions of compressed sensing, made the compressed sensing theory of the hardware sampling experimental board, research on the theory of compressed sensing hardware sampling function, experimental data of the experimental class hardware sampling shows that, the hardware sampling platform in practice can effectively carry out sampling of analog signals, and can effectively reconstruct the sampled data by reconstruction algorithm, but limited to the analog signal, cannot carry out sampling of wideband signal.Secondly, based on the theory of compressed sensing, this paper built a simulation platform based on FRD frequency domain Sampler: generate multi frequency signal into the sampler through the signal source, the multichannel sampling mode, respectively by processing the signal of each channel integrator (the original signal with different frequency signal by multiplying signal processing) speed sampling and decision, in order to obtain the original signal compression observation data, to reconstruct the sampled data in reconstruction module. The simulation platform of experiment results show that, compared with traditional compressed sensing sampling, the reconstruction effect of frequency domain sampler is better, the error rate has reduced.Finally, based on the study theory of compressed sensing sampling function, this paper studied the structural features, combining the theory of compressed sensing signal, set up the OFDM signal detection platform based on structured, the measured signal module generates OFDM primary user signal plus noise to simulate the authorized user active, using signal non zero elements show the accumulation of a priori information, the sampling module building block aggregation model to produce the observation matrix to treat the detection signal sampling, in reconfigurable module, through two kinds of reconstruction algorithm of Block12and Standard11on the sampling data were reconstructed to obtain test results, in order to achieve the aim of signal detection, and at last performance analysis module, through the normalization of the reconstruction error the rate of NRE and the detection probability, false alarm probability PD performance of PF in detecting platform are analyzed. The experimental data of the signal detection platform shows that, in theory, the signal detection platform can achieve the detection completely in the case of there are not many Authorized users.
Keywords/Search Tags:compressed sensing, sampling, structured signal, signaldetection platform
PDF Full Text Request
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