An improved approach for higher-order cyclostationarity based direction-finding of coherent sources using forward-backward linear prediction

We propose a modification of the previous higher-order cyclic statistics (HOCS)-based linear prediction (LP) approach by performing both the forward and backward LP with subarrays and defining both the form of forward and backward fourth-order cyclic cumulants, thus incorporate subarrays with forward-backward LP model and develop a new HOCS-based forward-backward LP direction-finding approach for coherent sources, we term it HOCS-FBLP. It is proved that the proposed method can decorrelate the coherency with fewer sensors. The simulations show that the improved approach has the advantages of larger array aperture and higher resolution under small length of data, as well as its powerful capability of interference suppression and signal selectivity duo to the use of HOCS.