Iterative Blind Detection Algorithm for Wideband Multi-Target Signals in Distributed Receiving Systems
With the rapid development of software and hardware technology and the widespread use of broadband receiv-ers,spectrum detection is moving towards high instantaneous bandwidth.Traditional channelization-based spectrum de-tection methods have the problems of slow search speed and low processing efficiency.A new iterative blind detection al-gorithm for wideband multi-target signals in distributed receiving systems is proposed.The proposed method can realize blind detection of multiple signals under specific false alarm probability without knowing the number and spectrum posi-tion of signals in advance,having relative high flexibility and robustness.Firstly,on the basis of analyzing the signal char-acteristics,the multi-signal detection is transformed into a linear model solving problem for processing.Secondly,based on the Bayesian multi-parameter joint solving model and the reasonable assumption of the prior distribution of the un-known parameters,the analytic variation distribution of the unknown parameters and the signal detection threshold are de-rived,the multi-antenna multi-parameter joint estimation is realized by using the soft information iteration of the variation distribution.In each iteration,the signal detection threshold is updated using the newly obtained parameter estimation re-sults,and the blind detection of multiple signals under the preset false alarm probability is realized through the pruning op-eration.Finally,the performance of the proposed method is analyzed through simulation experiments and compared with relevant methods.It is shown that the proposed method can effectively utilize the information of multiple received sig-nals,achieve blind detection of wideband unknown multi-target signals,and improve the processing efficiency under short data lengths.Compared with existing methods,the proposed method has significant advantages when the number of receiving units is large and the signal-to-noise ratio is low.
distributed receptionwidebandmulti-target signalsblind signal detectionvariational bayes
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