CAJ | 학술논문

针对均匀线性阵列的相干信号波达方向(DOA)估计问题,提出了一种结合粒子群优化(PSO)算法和最大似然函数的解相干算法.算法充分利用了 PSO 算法解决优化问题的优势和最大似然测向的优点,对独立信号、相干信号或二者的混合信号的 DOA 都能进行有效的估计.为了提高估计性能,对标准 PSO 算法的惯性权重、最大速度和搜索机制进行了改进.仿真结果证明了改进算法的有效性.
침대균균선성진렬적상간신호파체방향(DOA)고계문제,제출료일충결합입자군우화(PSO)산법화최대사연함수적해상간산법.산법충분이용료 PSO 산법해결우화문제적우세화최대사연측향적우점,대독립신호、상간신호혹이자적혼합신호적 DOA 도능진행유효적고계.위료제고고계성능,대표준 PSO 산법적관성권중、최대속도화수색궤제진행료개진.방진결과증명료개진산법적유효성.
A new decorrelation algorithm based on Particle Swarm Optimization(PSO)algorithm and Maximum Likelihood (ML)function is proposed for Direction-Of-Arrival(DOA)estimation of coherent signals on Uniform Linear Array(ULA). The DOA of independent signals, coherent signals or both of the mixed signals can be effectively estimated by proposed algo-rithm, which makes full use of the advantages of PSO algorithm and ML method. In order to improve the estimated perfor-mance, the self-adapting inertia, maximum speed and search system of standard PSO algorithm are improved. Simulation results verify that the improved algorithm is effective.