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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Target Localization and Tracking in Noncoherent Multiple-Input Multiple-Output Radar Systems
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Target Localization and Tracking in Noncoherent Multiple-Input Multiple-Output Radar Systems

机译:非相干多输入多输出雷达系统中的目标定位和跟踪

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摘要

For a noncoherent multiple-input multiple-output (MIMO) radar system, the maximum likelihood estimator (MLE) of the target location and velocity, as well as the corresponding Cramer-Rao lower bound (CRLB) matrix, is derived. MIMO radar's potential in localization and tracking performance is demonstrated by adopting simple Gaussian pulse waveforms. Due to the short duration of the Gaussian pulses, a very high localization performance can be achieved, even when the matched filter ignores the Doppler effect by matching to zero Doppler shift. This leads to significantly reduced complexities for the matched filter and the MLE. Further, two interactive signal processing and tracking algorithms, based on the Kalman filter and the particle filter (PF), respectively, are proposed for noncoherent MIMO radar target tracking. For a system with a large number of transmit/receive elements and a high signal-to-noise ratio (SNR) value, the Kalman filter (KF) is a good choice; while for a system with a small number of elements and a low SNR value, the PF outperforms the KF significantly. In both methods, the tracker provides predictive information regarding the target location, so that the matched filter can match to the most probable target locations, reducing the complexity of the matched filter and improving the tracking performance. Since tracking is performed without detection, the presented approach can be deemed as a track-before-detect approach. It is demonstrated through simulations that the noncoherent MIMO radar provides significant tracking performance improvement over a monostatic phased array radar with high range and azimuth resolutions. Further, the effects of coherent integration of pulses are investigated for both the phased array radar and a hybrid MIMO radar, where only the pulses transmitted and received by colocated transceivers are coherently integrated and the other pulses are combined noncoherently. It is shown that the hybrid MIMO radar achieves significa- t tracking performance improvement when compared with the phased array radar, by using the extra Doppler information obtained through coherent pulse integration.
机译:对于非相干多输入多输出(MIMO)雷达系统,推导了目标位置和速度的最大似然估计器(MLE)以及相应的Cramer-Rao下界(CRLB)矩阵。通过采用简单的高斯脉冲波形,证明了MIMO雷达在定位和跟踪性能方面的潜力。由于高斯脉冲的持续时间短,即使匹配的滤波器通过匹配零多普勒频移而忽略了多普勒效应,也可以实现很高的定位性能。这大大降低了匹配滤波器和MLE的复杂度。此外,针对非相干MIMO雷达目标跟踪,提出了两种分别基于卡尔曼滤波器和粒子滤波器(PF)的交互式信号处理和跟踪算法。对于具有大量发送/接收元素和高信噪比(SNR)值的系统,卡尔曼滤波器(KF)是一个不错的选择;而对于元素数量少,SNR值低的系统,PF明显优于KF。在这两种方法中,跟踪器都提供有关目标位置的预测信息,以便匹配的过滤器可以与最可能的目标位置匹配,从而降低了匹配过滤器的复杂度并提高了跟踪性能。由于跟踪是在没有检测的情况下执行的,因此可以将提出的方法视为检测前跟踪的方法。通过仿真证明,与具有高范围和方位角分辨率的单相相控阵雷达相比,非相干MIMO雷达显着改善了跟踪性能。此外,对于相控阵雷达和混合MIMO雷达,都研究了脉冲的相干积分的影响,其中仅通过并置收发器发送和接收的脉冲被相干地积分,而其他脉冲被非相干地组合。结果表明,与相控阵雷达相比,混合MIMO雷达通过使用通过相干脉冲积分获得的额外多普勒信息,可以显着提高跟踪性能。

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