High Resolution Angle Parameter Estimation for Bistatic EMVS-MIMO Radar Based on a New Designed Array
-
摘要: 针对双基地EMVS-MIMO雷达角度参数估计问题，该文通过设计新的发射阵列和接收阵列来实现对双基地EMVS-MIMO雷达角度参数估计精度的提升。相比于半波长的均匀线性发射阵列和接收阵列，所设计的新型阵列能够实现发射端和接收端阵列孔径的扩展。并且，为了避免发射角和接收角的角度参数额外配对过程，该文利用平行因子算法来实现发射角和接收角的角度参数自动配对。同时，相应的发射方位角、发射俯仰角、发射极化角、发射极化相位差和接收方位角、接收俯仰角、接收极化角以及接收极化相位差也是自动配对的。通过利用平行因子算法多次迭代之后得到的方向加载矩阵，对应于发射角和接收角的精粗估计的旋转不变关系可以从方向加载矩阵中进行相应的提取。因此，高分辨的发射角和接收角可以通过精粗估计的结合来实现。相比于当前算法，所提算法具有自动参数配对特性以及较低的计算复杂度。仿真实验表明所提算法具有较高的估计精度。Abstract: A new transmit and receive array in bistatic ElectroMagnetic Vector Sensor Multiple-Input Multiple-Output (EMVS-MIMO) radar system is designed to improve the angle parameter estimation accuracy. Compared with the bistatic EMVS-MIMO radar equipped with half -wavelength spaced uniform linear arrays both in the transmitter and receiver, the new designed transmit and receive array can further enhance the array aperture. And, automatically paired angle parameter matching process for 2D DOD and 2D DOA can be obtained with the aid of the parallel factor trilinear alternating least square algorithm. Meanwhile, the corresponding elevation angle, azimuth angle, polarization angle and polarization phase difference both for transmitter and receiver are also automatically paired. Then, the loading matrices corresponding to transmit and receive array can be obtained by using the parallel factor trilinear alternating least square algorithm. And, high-accuracy and low-accuracy direction sine estimation can be determined by extracting the rotation invariance relationship from the obtained loading matrices. Thus, high resolution angle parameter estimation can be located by combining the high-accuracy estimated results and low-accuracy estimated results. Furthermore, the proposed method can provide automatically paired angle parameter matching process and lower computation complexity than state-of-the-art methods. Simulation results are carried out to verify the excellent angle parameter estimation performance of the proposed method.
-
LI Jian and STOICA P. MIMO radar with colocated antennas[J]. IEEE Signal Processing Magazine, 2007, 24(5): 106–114. doi: 10.1109/MSP.2007.904812 HAIMOVICH A M, BLUM R S, and CIMINI L J. MIMO radar with widely separated antennas[J]. IEEE Signal Processing Magazine, 2008, 25(1): 116–129. doi: 10.1109/MSP.2008.4408448 史文涛, 张群飞, 何成兵. 基于降维Capon的双基地MIMO阵列目标DOD和DOA联合估计算法[J]. 西北工业大学学报, 2019, 37(5): 857–864. doi: 10.1051/jnwpu/20193750857SHI Wentao, ZHANG Qunfei, and HE Chengbing. Joint DOD and DOA estimation using reduced-Capon method in bistatic MIMO array[J]. Journal of Northwestern Polytechnical University, 2019, 37(5): 857–864. doi: 10.1051/jnwpu/20193750857 CHAN F K W, SO H C, HUANG Lei, et al. Underdetermined direction-of-departure and direction-of-arrival estimation in bistatic multiple-input multiple-output radar[J]. Signal Processing, 2014, 104: 284–290. doi: 10.1016/j.sigpro.2014.04.019 WANG Xianpeng, WANG Wei, LIU Jing, et al. Tensor-based real-valued subspace approach for angle estimation in bistatic MIMO radar with unknown mutual coupling[J]. Signal Processing, 2015, 116: 152–158. doi: 10.1016/j.sigpro.2015.03.020 张正言, 张剑云, 周青松. 目标个数未知时双基地MIMO雷达多目标角度跟踪算法研究[J]. 电子与信息学报, 2018, 40(10): 2491–2497. doi: 10.11999/JEIT171174ZHANG Zhengyan, ZHANG Jianyun, and ZHOU Qingsong. Study on multi-target angle tracking algorithm of bistatic MIMO radar with unknown target number[J]. Journal of Electronics &Information Technology, 2018, 40(10): 2491–2497. doi: 10.11999/JEIT171174 王咸鹏, 国月皓, 黄梦醒, 等. 互耦条件下MIMO雷达非圆目标稳健角度估计方法[J]. 通信学报, 2019, 40(7): 144–150. doi: 10.11959/j.issn.1000-436x.2019163WANG Xianpeng, GUO Yuehao, HUANG Mengxing, et al. Robust angle estimation method for noncircular targets in MIMO radar with mutual coupling[J]. Journal on Communications, 2019, 40(7): 144–150. doi: 10.11959/j.issn.1000-436x.2019163 XIA Tieqi. Joint diagonalization based DOD and DOA estimation for bistatic MIMO radar[J]. Signal Processing, 2015, 108: 159–166. doi: 10.1016/j.sigpro.2014.09.010 CAI Changxin, WEN Fangqing, and HUANG Dongmei. New approach to angle estimation for bistatic MIMO radar with unknown spatially colored noise[J]. IEEE Access, 2018, 6: 24249–24255. doi: 10.1109/ACCESS.2018.2829537 XU Baoqing, ZHAO Yongbo, CHENG Zengfei, et al. A novel unitary PARAFAC method for DOD and DOA estimation in bistatic MIMO radar[J]. Signal Processing, 2017, 138: 273–279. doi: 10.1016/j.sigpro.2017.03.016 徐宝庆, 赵永波, 庞晓娇. 基于实值处理的联合波束域双基地MIMO雷达测角算法[J]. 电子与信息学报, 2019, 41(7): 1721–1727. doi: 10.11999/JEIT180766XU Baoqing, ZHAO Yongbo, and PANG Xiaojiao. Joint real-valued beamspace-based method for angle estimation in bistatic MIMO radar[J]. Journal of Electronics &Information Technology, 2019, 41(7): 1721–1727. doi: 10.11999/JEIT180766 MÉRIAUX B, ZHANG Xin, EL KORSO M N, et al. Iterative marginal maximum likelihood DOD and DOA estimation for MIMO radar in the presence of SIRP clutter[J]. Signal Processing, 2019, 155: 384–390. doi: 10.1016/j.sigpro.2018.09.034 GOMES P R B, DE ALMEIDA A L F, and DA COSTA J P C L. A nested-PARAFAC based approach for target localization in bistatic MIMO radar systems[J]. Digital Signal Processing, 2019, 89: 40–48. doi: 10.1016/j.dsp.2019.02.005 GUO Yuehao, WANG Xianpeng, WAN Liangtian, et al. Tensor-based angle and array gain-phase error estimation scheme in bistatic MIMO radar[J]. IEEE Access, 2019, 7: 47972–47981. doi: 10.1109/ACCESS.2019.2909760 CHEN Jinli, ZHANG Tingxiao, LI Jiaqiang, et al. Joint sensor failure detection and corrupted covariance matrix recovery in bistatic MIMO Radar with impaired arrays[J]. IEEE Sensors Journal, 2019, 19(14): 5834–5842. doi: 10.1109/JSEN.2019.2906375 BAIDOO E, HU Jurong, and ZHAN Lei. Kalman filtering method for sparse off-grid angle estimation for bistatic multiple-input multiple-output radar[J]. IET Radar, Sonar Navigation, 2020, 14(2): 313–319. doi: 10.1049/iet-rsn.2019.0416 CHINTAGUNTA S and PONNUSAMY P. 2D-DOD and 2D-DOA estimation using the electromagnetic vector sensors[J]. Signal Processing, 2018, 147: 163–172. doi: 10.1016/j.sigpro.2018.01.025 LIU Tingting, WEN Fangqing, SHI Junpeng, et al. A computationally economic location algorithm for bistatic EVMS-MIMO radar[J]. IEEE Access, 2019, 7: 120533–120540. doi: 10.1109/ACCESS.2019.2937577 MAO Chenxing, SHI Junpeng, and WEN Fangqing. Target localization in bistatic EMVS-MIMO radar using tensor subspace method[J]. IEEE Access, 2019, 7: 163119–163127. doi: 10.1109/ACCESS.2019.2951892 WEN Fangqing and SHI Junpeng. Fast direction finding for bistatic EMVS-MIMO radar without pairing[J]. Signal Processing, 2020, 173: 107512. doi: 10.1016/j.sigpro.2020.107512 WEN Fangqing, SHI Junpeng, and ZHANG Zijing. Joint 2D-DOD, 2D-DOA, and polarization angles estimation for bistatic EMVS-MIMO radar via PARAFAC analysis[J]. IEEE Transactions on Vehicular Technology, 2020, 69(2): 1626–1638. doi: 10.1109/TVT.2019.2957511 SIDIROPOULOS N D, BRO R, and GIANNAKIS G B. Parallel factor analysis in sensor array processing[J]. IEEE Transactions on Signal Processing, 2000, 48(8): 2377–2388. doi: 10.1109/78.852018 -
下载:
图(3)
计量
- 文章访问数: 1176
- HTML全文浏览量: 250
- PDF下载量: 111
- 被引次数: 0
