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首页> 外文期刊>International journal of antennas and propagation >Hybridization of Cognitive Radar and Phased Array Radar Having Low Probability of Intercept Transmit Beamforming
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Hybridization of Cognitive Radar and Phased Array Radar Having Low Probability of Intercept Transmit Beamforming

机译:拦截发射波束成形概率低的认知雷达和相控阵雷达的混合

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摘要

A novel design of a cognitive radar (CR) hybridized with a phased array radar (PAR) having a low probability of intercept (LPI) transmit beam forming is proposed. PAR directed high gain property reveals its position to interceptors. Hence, the PAR high gain scanned beam patterns, over the entire surveillance region, are spoiled to get the series of low gain basis patterns. For unaffected array detection performance, these basis patterns are linearly combined to synthesize the high gain beam pattern in the desired direction using the set of weight. Genetic algorithm (GA) based evolutionary computing technique finds these weights offline and stores to memory. The emerging CR technology, having distinct properties (i.e., information feedback, memory, and processing at receiver and transmitter), is hybridized with PAR having LPI property. The proposed radar receiver estimates the interceptor range and the direction of arrival (DOA), using the extended Kalman filter (EKF) and the GA, respectively, and sends as feedback to transmitter. Selector block in transmitter gets appropriate weights from memory to synthesize the high gain beam pattern in accordance with the interceptor range and the direction. Simulations and the results validate the ability of the proposed radar.
机译:提出了一种新颖的认知雷达(CR)与相控阵雷达(PAR)混合的设计,该技术具有低拦截(LPI)发射波束形成的可能性。 PAR定向的高增益特性向拦截器揭示了它的位置。因此,在整个监视区域内,PAR高增益扫描光束方向图被破坏,以获得一系列低增益基础方向图。对于不受影响的阵列检测性能,将这些基本图案线性组合以使用一组权重沿所需方向合成高增益光束图案。基于遗传算法(GA)的进化计算技术可以离线找到这些权重并将其存储到内存中。具有不同特性(即信息反馈,存储器以及在接收器和发送器处的处理)的新兴CR技术与具有LPI特性的PAR混合使用。拟议的雷达接收器分别使用扩展的卡尔曼滤波器(EKF)和GA估计拦截器的距离和到达方向(DOA),并将其作为反馈发送到发射器。发送器中的选择器块从存储器中获得适当的权重,以根据拦截器范围和方向合成高增益波束方向图。仿真和结果验证了拟议雷达的能力。

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