Adaptive Difference Beam with Low Sidelobes at Subarray Level Based on Semidefinite Programming
Keywords:
Adaptive at subarray level, difference beam, low sidelobe, semidefinite programmingAbstract
This paper proposes a semidefinite programming (SDP) method to form adaptive difference beam at subarray level. Its performance is investigated via computer simulations. Compared with loaded sample matrix inversion (LSMI) and constrained adaptive beam-pattern synthesis (CAPS). The proposed algorithm not only has manifest lower sidelobes in quiescent pattern control and sidelobe interference suppression, but also produces more accurate and deeper null in look direction when mainbeam interference deforms the pattern.
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