DOA Estimation with Subarrays via Blind Source Separation Algorithm

In this paper, the direction of arrival (DOA) estimation in terms of weak target is addressed under strong mainlobe jamming. Specifically, a sum-difference beam signal model for multiple subarrays is introduced accounting for target echo and mainlobe jamming. For each subarray, the target and jamming signals are separated from the received sum-difference channel signals via blind source separation (BSS) algorithm. Further, monopulse technique is exploited to estimate DOA of weak target by combining all the separated target signals of each subarray. Finally, the effectiveness and performance of the proposed technique are analyzed via numerical simulations. The results show that the introduced procedure is capable of achieving rejection of the mainlobe jamming, while accurately estimating DOAs of target and jamming.