基于双特征比的动态信道化子带检测算法OA

In the dynamic digital channelized reception architecture,subband detection provides positional information to the synthesis filter bank for signal reconstruction.To achieve reliable sub-band detection under low signal-to-noise ratio(SNR)and limited sampling conditions,this paper pro-poses a blind subband detection algorithm based on double characteristic ratio.Firstly,leveraging ran-dom matrix theory,employ the maximum-to-minimum eigenvalue ratio as an extremal feature and the arithmetic-to-harmonic mean eigenvalue ratio as a global feature,and integrate them into a detection statistic via a tuning factor.Then,the detection threshold is analytically derived from the asymptotic distribution of the largest eigenvalue of Wishart matrices by taking advantage of the false alarm prob-ability.Finally,simulation results demonstrate that the proposed algorithm achieves superior detection performance under low-SNR and limited-sample conditions compared to existing methods.