Weighted cooperative sensing for pulse radar signals

In this paper, the sensing performance implemented by a secondary cognitive system on a primary system (pulsed radar) is investigated. Firstly, the sensing performance considering the detection probability and the false alarm probability is presented analytically in a local single node for energy detection. Secondly, the sensing performance of a standard cooperative sensing algorithm is presented. To further improve the performance of cooperative sensing, a weighted cooperative sensing algorithm is proposed considering two criteria, the local constant false alarm rate (LCFAR) and the local constant detection rate (LCDR). Performance results indicate that under the same criteria, the sensing performance of the weighted energy sensing algorithm is better than the standard energy cooperative sensing algorithm.