Abstract
In this paper, we propose a method for decreasing the complexity of wideband spectrum sensing. Our method uses multi-rate sampling with multiple branches that does not need synchronization. First, we propose a two-stage algorithm for reducing computational complexity caused by sparse signal recovery. In its first stage, low-resolution information about location of active bands in spectrum is obtained and in the second stage, only that selected spectrum locations will be recovered with a high resolution. Therefore, it is not required to recover the entire spectrum with high resolution which brings heavy computational burden. In addition, we reduce computational complexity of sparse signal recovery algorithm by using requisite pre-stored elements of gram matrix and using a recursive manner for matrix inversion calculation.
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