| 基于压缩感知的PD雷达序贯扩展卡尔曼滤波跟踪方法 |
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| 引用本文： | 王雪君,孙进平,张旭旺.基于压缩感知的PD雷达序贯扩展卡尔曼滤波跟踪方法[J].信号处理,2017,33(4):601-606. |
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| 作者姓名： | 王雪君 孙进平 张旭旺 |
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| 作者单位： | 北京航空航天大学电子信息工程学院 |
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| 摘 要： | 提出一种新的基于压缩感知(Compressive Sensing, CS)处理的序贯扩展卡尔曼滤波(Sequential Extended Kalman Filter, SEKF)方法，以用于脉冲多普勒(Pulse Doppler, PD)雷达机动目标跟踪。利用目标在时延多普勒平面内的稀疏特点建立稀疏量测模型，然后通过压缩采样匹配重构方法获得目标的多普勒量测值，并用SEKF方法进行滤波更新，以改善目标状态的估计性能。在滤波过程中，应用CS处理可改善目标多普勒估计精度，而应用SEKF则可通过加入伪量测减小多普勒量测和目标运动状态之间的非线性误差。仿真实验结果表明，本文所提出的方法和传统的SEKF方法以及已有基于压缩感知的跟踪方法相比对机动目标有更好的跟踪性能。
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| 关 键 词： | 压缩感知 序贯扩展卡尔曼滤波 脉冲多普勒雷达 目标跟踪 |
| 收稿时间： | 2016-10-24 |
New Sequential Extended Kalman Filter for Pulse Doppler Radar Tracker Based on Compressive Sensing |
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| Affiliation: | School of Electronic and Information Engineering, Beihang University |
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| Abstract: | A new sequential extended Kalman filter (SEKF) based on compressive sensing (CS) is proposed to track maneuvering targets for the pulse Doppler radar. The sparsity of target measurements in delay-Doppler plane is used to set up a sparse signal model in each pulse interval, and then Doppler measurements can be obtained through the reconstruction algorithm. Finally, SEKF is used to make filter update so as to attain the high precision state estimation. In the process flow of tracking filter, CS processing is applied to improve estimate accuracy of delay and Doppler for targets, and SEKF is applied to reduce the nonlinearity between Doppler measurements and target motion state through adding the pseudo. Simulation results show that compared to the traditional SEKF method and the existing CS based tracking method, CS aided SEKF method has the highest tracking accuracy. Therefore, this proposed algorithm is validated to enhance the tracking performance of maneuvering target. |
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