Beam pattern synthesis for a cognitive frequency diverse array radar to localize multiple targets with same direction but different ranges
Beam pattern synthesis for a cognitive frequency diverse array radar to localize multiple targets with same direction but different ranges
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DOI：
10.1109/ibcast.2016.7429954
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发表时间：
2016-03
期刊：
影响因子：
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通讯作者：
A. Basit;I. Qureshi;W. Khan;A. Malik;B. Shoaib
中科院分区：
文献类型：
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作者：
A. Basit;I. Qureshi;W. Khan;A. Malik;B. Shoaib
雷达在很大程度上依赖于反射回波来识别周围环境中未知位置的感兴趣目标。如果多个波从相同的方向、不同的距离入射到线阵上，相控阵雷达就不可能定位目标并抑制不需要的信号。在本文中，我们提出了一种利用认知雷达特性与具有非均匀频率增量的频率分集阵列(FDA)雷达混合来定位、跟踪和抑制这类目标星座的有害回波的新思想。该接收机利用多信号分类(MUSIC)算法估计目标的到达方向和距离。由于FDA使用较小的频率增量来产生与距离角相关的方向图，因此该设计使用遗传算法(GA)计算一组合适的非均匀频率增量来合成FDA波束方向图，其中功率峰值位于期望位置，零点位于干扰距离值。
Radars strongly depend upon the reflected echoes to identify targets of interest on unknown locations in the surrounding environment. If multiple waves impinge on a linear array from the same direction, but different ranges than it is not possible for a phased array radar (PAR) to localize the targets and suppress the unwanted signals. In this paper, we propose a new idea for localizing, tracking and suppressing the unwanted returns of these type of target constellations, using cognitive radar properties hybridized with a frequency diverse array (FDA) radar having non-uniform frequency increments. The proposed receiver estimates the direction of arrival and ranges of targets using multiple signal classification (MUSIC) algorithm. As FDA uses a small frequency increment to generate a range-angle dependent pattern, therefore the proposed design computes a suitable set of non-uniform frequency increments using genetic algorithm (GA) to synthesize an FDA beam pattern with power peaks at desired position and nulls at the interferer range value.