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An Improved LCMV Method at Subarray Level

机译:子阵列级的改进LCMV方法

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摘要

ADBF at subarray level has important applications in phased array radar systems, and this paper studies LCMV methods at subarray level. The limitation of the conventional LCMV at subarray level is that the SLL (SideLobe Level) of the adaptive pattern may remarkably increase. And that LCMV based on normalization and that based on MOD can suppress the SLL well, but bring in biggish IF (Improvement Factor) loss. This paper combines LCMV based on normalization and that based on MOD, which can not only suppress the SLL but reduce IF loss. Simulation results indicate the validity of the introduced method.
机译:子阵列级的ADBF在相控阵雷达系统中具有重要的应用,本文研究了子阵列级的LCMV方法。传统LCMV在子阵列级别的局限性在于自适应模式的SLL(旁瓣级别)可能会显着增加。基于归一化的LCMV和基于MOD的LCMV可以很好地抑制SLL,但会带来较大的IF(改善因子)损失。本文将基于归一化的LCMV与基于MOD的LCMV相结合,不仅可以抑制SLL,而且可以降低IF损耗。仿真结果表明了该方法的有效性。

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