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基于扩展ESPRIT的随机阵列高效DoA估计算法

刘松 庞育才

刘松, 庞育才. 基于扩展ESPRIT的随机阵列高效DoA估计算法[J]. 电子与信息学报, 2019, 41(6): 1324-1329. doi: 10.11999/JEIT180672
引用本文: 刘松, 庞育才. 基于扩展ESPRIT的随机阵列高效DoA估计算法[J]. 电子与信息学报, 2019, 41(6): 1324-1329. doi: 10.11999/JEIT180672
Song LIU, Yucai PANG. Efficient Augmented ESPRIT-based Direction-of-Arrival Estimation Algorithm for Random Arrays[J]. Journal of Electronics & Information Technology, 2019, 41(6): 1324-1329. doi: 10.11999/JEIT180672
Citation: Song LIU, Yucai PANG. Efficient Augmented ESPRIT-based Direction-of-Arrival Estimation Algorithm for Random Arrays[J]. Journal of Electronics & Information Technology, 2019, 41(6): 1324-1329. doi: 10.11999/JEIT180672

基于扩展ESPRIT的随机阵列高效DoA估计算法

doi: 10.11999/JEIT180672
基金项目: 重庆市教委自然科学基金(KJ1704079, KJQN201800631)
详细信息
    作者简介:

    刘松:男,1976年生,博士,讲师,研究方向为阵列信号处理

    庞育才:男,1987年生,博士(后),讲师,研究方向为MIMO雷达信号处理

    通讯作者:

    庞育才 pangyc@cqupt.edu.cn

  • 中图分类号: TN911.7

Efficient Augmented ESPRIT-based Direction-of-Arrival Estimation Algorithm for Random Arrays

Funds: The Natural Science Foundation of Chongqing Municipal Education Commission (KJ1704079, KJQN201800631)
  • 摘要: 获得随机阵列的高效、统计无偏波达方向(DoA)估计是超分辨率DoA估计领域的一大挑战。该文基于“利用旋转不变技术扩展估计信号参数法(AESPRIT)” 提出了一种随机阵列DoA估计算法。该算法将AESPRIT改造成闭合环结构,并使用阵列内插技术(AIT)提供的角度粗估计作为初始相位补偿角,从而通过迭代快速获得精确的DoA估计。所提算法直接给出代数形式的估计结果,具有低的计算复杂度;同时由于不存在流形映射或者模式截断误差,估计结果具有统计无偏性。仿真结果验证了所提算法的有效性。
  • 图  1  具有开环结构的AESPRIT

    图  2  具有闭合环结构的AESPRIT

    图  3  基于AESPRIT的DoA估计算法

    图  4  给定阵列DoA估计平均绝对偏差随SNR的变化情况

    图  5  给定阵列DoA估计RMSE随SNR的变化情况

    图  6  随机阵列DoA估计运算时间及RMSE随SNR的变化情况

  • MELVIN W L and SCHEER J A. Principles of Modern Radar, Vol II: Advanced Techniques[M]. Edison, USA: SciTech Publishing, 2013: 656–658.
    LI Jun, LIN Qiuhua, KANG Chunyu, et al. DOA estimation for underwater wideband weak targets based on coherent signal subspace and compressed sensing[J]. Sensors, 2018, 18(3): E902. doi: 10.3390/s18030902
    张平, 陶运铮, 张治. 5G若干关键技术评述[J]. 通信学报, 2016, 37(7): 15–29.

    ZHANG Ping, TAO Yunzheng, and ZHANG Zhi. Survey of several key technologies for 5G[J]. Journal on Communications, 2016, 37(7): 15–29.
    JIN Yanhan, ZOU Yuexian, and RITZ C H. Robust speaker DOA estimation based on the inter-sensor data ratio model and binary mask estimation in the bispectrum domain[C]. Proceedings of 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, USA, 2017: 3266–3270.
    XIA Z, BRENNAN N, CHAMBERLAND J F, et al. Real-time and near-real-time acquisition systems for measuring aliasing in small arrays based on crystal microstructures[C]. Proceedings of 2013 IEEE Radio and Wireless Symposium, Texas, USA, 2013: 64–66.
    FLIELLER A, LARZABAL P, and CLERGEOT H. Study of ambiguities in array manifold: a general framework[C]. Proceedings of the 8th Workshop on Statistical Signal and Array Processing, Corfu, Greece, 1996: 574–577.
    GAZZAH H, DELMAS J P, and LARSYS S M J. Direction-finding arrays of directional sensors for randomly located sources[J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(4): 1995–2003. doi: 10.1109/TAES.2016.150655
    VAN TREES H L. Optimum Array Processing: Part IV of Detection, Estimation and Modulation Theory[M]. New York, USA: Wiley-Interscience, 2002: 922–924.
    SCHMIDT R. Multiple emitter location and signal parameter estimation[J]. IEEE Transactions on Antennas and Propagation, 1986, 34(3): 276–280. doi: 10.1109/TAP.1986.1143830
    ROY R and KAILATH T. ESPRIT-estimation of signal parameters via rotational invariance techniques[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1989, 37(7): 984–995. doi: 10.1109/29.32276
    YAN Fenggang, JIN Ming, LIU Shuai, et al. Real-valued MUSIC for efficient direction estimation with arbitrary array geometries[J]. IEEE Transactions on Signal Processing, 2014, 62(6): 1548–1560. doi: 10.1109/TSP.2014.2298384
    LIU Guohong, CHEN Hong, SUN Xiaoying, et al. Modified MUSIC algorithm for DOA estimation with Nyström approximation[J]. IEEE Sensors Journal, 2016, 16(12): 4673–4674. doi: 10.1109/JSEN.2016.2557488
    WEISS A J and GAVISH M. Direction finding using ESPRIT with interpolated arrays[J]. IEEE Transactions on Signal Processing, 1991, 39(6): 1473–1478. doi: 10.1109/78.136564
    BELLONI F, RICHTER A, and KOIVUNEN V. DoA estimation via manifold separation for arbitrary array structures[J]. IEEE Transactions on Signal Processing, 2007, 55(10): 4800–4810. doi: 10.1109/TSP.2007.896115
    HUA Guang, WU Jiudong, ZHU Xicheng, et al. Efficient two-dimensional direction finding via auxiliary-variable manifold separation technique for arbitrary array structure[J]. Mathematical Problems in Engineering, 2015, 2015: 740513. doi: 10.1155/2015/740513
    LIU Song, ZHANG Gang, WENG Mingjiang, et al. Unified ESPRIT spatial spectrum for Direction-of-Arrival estimation with an arbitrary sparse array[C]. Proceedings of the 2016 IEEE 13th International Conference on Signal Processing, Chengdu, China, 2016: 457–461.
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出版历程
  • 收稿日期:  2018-07-06
  • 修回日期:  2019-01-15
  • 网络出版日期:  2019-01-26
  • 刊出日期:  2019-06-01

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