Study on ML direction finding method based on cultural algorithm
Bing Wang · Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University · 2008
This paper presents a method to perform maximum likelihood estimation(MLE) for direction of arrivals(DOA).Two different versions of the implementation of the method are proposed,CA-version1 and CA-version2.The former uses situational knowledge to control changes in direction and normative knowledge to adjust the change of step size;the latter employs normative knowledge to control the changes in both step size and direction.Cultural algorithms are a dual inheritance system,so they guide the searching process by using empirical knowledge to find the global optimal solution.The simulation results showed that this method can get almost the same performance as the AP algorithm,but with much lower computational efforts.Furthermore,as an algorithm with multiple evolutionary processes,it is easy to achieve parallel operation,better meeting the requirements of real-time operation.