The system optimization framework for wideband spectrum sensing is constructed for the maximization of the throughput through the optimal inertia weight coefficient.For the nonconvexity of the optimal problem，a method based on the particle swarm optimization (PSO) is proposed.The impact of the number of secondary users，the number of samples and the number of subband on the performance of the proposed broadband spectrum sensing algorithm is investigated.The results show the effectiveness of the algorithm.

%U https://zkxb.jsu.edu.cn/EN/10.3969/j.cnki.jdxb.2016.03.011