基于进化PSO算法的稀疏捷变频雷达波形优化

为了提高稀疏捷变频(sparse frequency agility,SFA)雷达信号在稀疏重构中的精度和稳定性,提出一种基于进化粒子群优化(particle swarm optimization,PSO)算法的SFA雷达信号的优化设计.首先,推导了SFA雷达的信号模型和稀疏重构时的字典矩阵.然后,以最小化SFA雷达信...

Waveform optimization for SFA radar based on evolutionary particle swarm optimization

To enhance the accuracy and stability of sparse frequency agility(SFA) radar signal in sparse reconstruction, an optimization design of SFA radar is proposed, which is based on evolutionary particle swarm optimization(PSO) algorithm. Firstly, the signal model of SFA radar and the dictionary matrix during sparse reconstruction are derived. Then, the optimization model is constructed with objective function of the correlation of the dictionary matrix minimization and the constraint conditions of the effective bandwidth and the effective frequency agility interval. Finally, the optimal carrier frequency solution is obtained by evolutionary PSO algorithm. Simulation results show that the proposed algorithm can effectively improve the orthogonality of the measurement matrix to ensure the accuracy and reliability of the signal sparse reconstruction under the condition of sparse constraint.