Further Results on Peak Sidelobe Control in Adaptive Arrays

Abstract

Adaptive arrays (or adaptive beamformers) are now widely used in radar, sonar, and communications to suppress various kinds of interference. In radar applications, adaptive beampatterns with low sidelobes and stable mainlobe shapes are desired so as to mitigate pulsed deceptive jammers or sidelobe targets and to accurately measure the direction-of-arrival (DOA) of a target using monopulse techniques. In practice, there are many kinds of data modeling errors that would degrade the performance of adaptive arrays. In this case, adaptive beamformers tend to suffer too much performance degradation (poor interference rejection, distorted mainlobes and high sidelobes). We have previously proposed a quadratical constraint based method, referred to as integrated peak sidelobe control (IPSC), which can precisely control the peak sidelobes and produce stable mainlobe shapes of adaptive beampatterns. In this paper, the effects of target signals on IPSC are investigated and a signal removal scheme is given to further improve its performance. The performance of IPSC is also compared to the more recently devised second-order cone programming (SOCP) based new approach, referred to as distributed peak sidelobe control (DPSC). Numerical results indicate that IPSC outperforms DPSC in both the interference rejection performance and the beampattern control quality. Moreover, the former is computationally far more efficient than the latter