A novel higher order cyclic cumulaut based direction finding algorithm in multipath
Hong Jiang, Shu Xun Wang, Hai Jun Lu · 2005
We develop a novel higher order cyclic cumulant based direction finding algorithm in multipath. Firstly, three fourth-order cyclic cumulant matrices of the received signals are constructed and the generalized steering vector is estimated, then forward-backward linear prediction (FBLP) method with subarrays is used to resolve the DOAs of each group of coherent signals of interest (SOIs), which can improve resolution of closely spaced coherent signals in small data length. The simulations show the advantages of the proposed method compared with the EVESPA algorithm. Unlike EVESPA algorithm, the total number of signals (SOIs and interferences) impinging on the array can be more than 2K(K-1)/3 with K-sensor uniform linear subarray and a maximum of 2K(K-1)/3 coherent SOIs can be resolved. The capability of noise-suppression and signal-selectivity in multipath environment of mobile communications is improved.