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Subarray-based frequency diverse array radar for target range-angle estimation

机译:基于子阵的频率分集阵雷达,用于目标距离角估计

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摘要

Phased-array is widely used in communication, radar, and navigation systems, but the beam steering is fixed in an angle for all range cells. Frequency diverse array (FDA) provides a range-dependent beamforming, but it cannot estimate directly both the range and angle of a target. This paper proposes a subarray-based FDA radar, with an aim to localize the target in the range-angle domain.We divide the whole FDA array into two subarrays, which employ two different frequency increments. In doing so, the target's range and angle are estimated directly from the transmit-receive beamforming output peak. The estimation performance is examined by analyzing the minimum mean variance square error (MMSE) and the Cramer-Rao lower bound (CRLB) versus signal-to-noise ratio (SNR). The corresponding transmit-receive beampattern and signal-to-interference plus noise ratio (SINR) are also formalized. Moreover, the CRLB can be used to optimally design the frequency increments. The effectiveness is verified by simulation results.
机译:相控阵广泛用于通信,雷达和导航系统中,但波束转向对于所有测距单元都固定在一个角度。频率分集阵列(FDA)提供了取决于范围的波束成形,但是它不能直接估计目标的范围和角度。本文提出了一种基于子阵列的FDA雷达,旨在将目标定位在射程角域中。我们将整个FDA阵列分为两个子阵列,两个子阵列采用两个不同的频率增量。这样,目标的范围和角度可直接从发射-接收波束成形输出峰值估算出来。通过分析最小均方差平方误差(MMSE)和Cramer-Rao下限(CRLB)与信噪比(SNR)的比较来评估估计性能。相应的发射-接收波束图和信号干扰加噪声比(SINR)也已形式化。此外,CRLB可用于优化设计频率增量。仿真结果验证了该有效性。

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