一种基于时空瞬时稳定性的方位谱估计方法

王林生1,2,王慧婷3,刘志刚4

振动与冲击 ›› 2021, Vol. 40 ›› Issue (13) : 281-288.

PDF(2555 KB)
PDF(2555 KB)
振动与冲击 ›› 2021, Vol. 40 ›› Issue (13) : 281-288.
论文

一种基于时空瞬时稳定性的方位谱估计方法

  • 王林生1,2,王慧婷3,刘志刚4
作者信息 +

An orientation spectrum estimation method based on temporal and spatial instantaneous stability

  • WANG Linsheng1,2, WANG Huiting3, LIU Zhigang4
Author information +
文章历史 +

摘要

针对基于子空间分解的空间方位谱估计方法稳健性问题,提出了一种基于时空瞬时稳定的方位谱估计方法。该方法首先依据空间目标信号时域瞬时稳定性,将协方差矩阵频域求取过程转换为经相参补偿的复域求取,降低空间数据稳定性对协方差矩阵估计的影响;然后依据各子空间输出方位谱峰值索引离散度差异,提取各子空间方位谱加权因子;最后根据加权因子实现对各子空间方位谱加权处理,降低背景噪声对最终合成空间方位谱影响。数值仿真及实测数据处理结果表明,相比子空间分解方法,在不损失空间分辨率情况下,能够有效降低空间数据稳定性对协方差矩阵估计产生的影响,在无目标先验信息情况下,对最低信噪比的需求得到了6 dB以上的降低。

Abstract

Here, aiming at the robustness problem of spatial orientation spectrum estimation method based on subspace decomposition, an orientation spectrum estimation method based on temporal and spatial instantaneous stability was proposed. Firstly, according to the instantaneous stability of space target signal in time domain, the solving process in frequency domain of covariance matrix was converted into its solving process in complex domain by coherent compensation to reduce effects of spatial data stability on covariance matrix estimation. Secondly, according to difference of orientation spectrum peak value index dispersion output by each subspace, the weighting factor of orientation spectrum of each subspace was extracted. Finally, various subspace orientation spectra were weighted with these weighting factors to form the synthetized space orientation spectrum and reduce effects of background noise on the final spectrum. The results of numerical simulation and actual measured data processing showed that compared with the subspace decomposition method, the proposed method can effectively reduce effects of spatial data stability on covariance matrix estimation without loss of spatial resolution; the requirement of the minimum signal-to-noise ratio is reduced by more than 6 dB without target prior information.

关键词

方位谱估计 / 协方差矩阵 / 复域 / 峰值索引离散度 / 加权因子

Key words

orientation spectrum estimation / covariance matrix / complex domain / peak index dispersion / weighting factor

引用本文

导出引用
王林生1,2,王慧婷3,刘志刚4. 一种基于时空瞬时稳定性的方位谱估计方法[J]. 振动与冲击, 2021, 40(13): 281-288
WANG Linsheng1,2, WANG Huiting3, LIU Zhigang4. An orientation spectrum estimation method based on temporal and spatial instantaneous stability[J]. Journal of Vibration and Shock, 2021, 40(13): 281-288

参考文献

[1]IOANNIDES P, BALANIS C A. Uniform circular and rectangular arrays for adaptive beamforming applications[J]. IEEE Antennas and Wireless Propagation Letters, 2015(4): 351-354.
[2]JIANG Z J, ZHAO S M, CHEN Y Y,et al. Beamforming optimization for time-modulated circular-aperture grid array with DE algorithm[J]. IEEE Antennas and Wireless Propagation Letters, 2018,17(12): 2434-2437.
[3]WANG Y, YANG Y X, MA Y L, et al. Broadband pattern synthesis for circular sensor arrays[J]. The Journal of the Acoustical Society of America Express Letters, 2014,136(2):EL153-EL158.
[4]JACKSON B R, RAJAN S, LIAO B J, et al. Direction of arrival estimation using directive antennas in uniform circular arrays[J]. IEEE Transactions on Antennas and Propagation, 2015, 63(2): 736-747.
[5]WONG K T, MORRIS Z N, KITAVI D M,et al. A uniform circular array of isotropic sensors that stochastically dislocate in three dimensions-the hybrid Cramér-Rao bound of direction-of-arrival estimation[J]. The Journal of the Acoustical Society of America , 2019,146(1): 150-163.
[6]HAN Z R, WU M, ZHU Q X, et al. Three-dimensional wave-domain acoustic contrast control using a circular loudspeaker array[J]. The Journal of the Acoustical Society of America Express Letters, 2019,145(6):EL488-EL493.
[7]JEON W, KIM J H, CHUNG S Y. Effect of mutual coupling on uniform circular arrays with vector antenna elements[J]. IEEE Antennas and Wireless Propagation Letters, 2017, 16: 1703-1706.
[8]SUN H M, YANG L, WEI L X. The ship target detection with improved orthogonal vector spectral estimation based on signal-subspace[J]. Radar Science and Technology, 2016, 19(4):321-326.
[9]ZHANG C D, LI G, LI Y C. Subspace fitting via sparse representation of signal covariance for DOA estimation[C]//IEEE International Conference on Acoustics, Speech and Signal Processing. Shanghai: IEEE, 2016.
[10]李帅, 陈辉, 张佳佳. 基于特征矢量重构的均匀圆阵解相干算法[J]. 空军预警学院学报, 2016, 30(3): 157-161.
LI Shuai, CHEN Hui, ZHANG Jiajia. Decorrelation algorithm of uniform circular array based on eigenvector reconstruction[J]. Journal of Air Force Early Warning Academy, 2016, 30(3): 157-161.
[11]朱国辉,汪洋,米胜男. 加权最小二乘法和MUSIC法联合测向技术研究[J]. 雷达科学与技术,2019,17(3): 319-323.
ZHU Guohui, WAND Yang, MI Shengnan. Research on direction finding technique based on the combination of weighted least squares method and MUSIC algorithm[J]. Radar Science and Technology,2019,17(3):319-323.
[12]邱岚.基于两次傅里叶变换的时域MUSIC波达方向估计[J].电讯技术,2018,58(10):1206-1211.
QIU Lan.Time-domain MUSIC for DOA estimation based on twice Fourier transform[J].Telecommunication Engineering, 2018,58(10):1206-1211.
[13]司伟建,林晴晴. 利用延时预处理的DOA估计方法[J].哈尔滨工业大学,2012,33(7):894-898.
SI Weijian,LIN Qingqing. A method of DOA estimation based on delay preprocessing[J]. Journal of Harbin Engineering University,2012,33(7): 894-898.
[14]张志刚,尹立,吴小川. 低秩条件下的波达方向估计方法研究[J]. 电波科学学报,2014,29(6):1171-1175.
ZHANG Zhigang, YIN Li, WU Xiaochuan. Direction of arrival estimation under low rank[J].Chinese Journal of Radio Science,2014,29(6):1171-1175.
[15]LEE K, YRESLER Y, JUNUE M.  Subspace methods for joint sparse recovery[J].IEEE Trans on Information Theory, 2012, 58(6): 3613-3641.
[16]KIM J M, LEE O K,  Improving noise robustness in subspace-based joint sparse recovery[J].IEEE Trans on Signal Process, 2012, 60(11):5799-5809.
[17]张涛涛,张兴敢. 基于改进MUSIC算法的宽带DOA估计[J]. 南京大学学报(自然科学),2016,52(5):932-938.
ZHANG Taotao, ZHANG Xingan. Broadband DOA estimation based on an improved MUSIC algorithm[J]. Journal of Nanjing University (Natural Sciences), 2016, 52(5): 932-938.
[18]李冰,汪永明,黄海宁. 基于时域解析估计的多重信号分类波束形成方法[J].上海交通大学学报,2019,53(8):928-935.
LI Bing, WANG Yongming, HUANG Haining. Multiple signal classification beam-forming method based on time domain analysis[J]. Journal of Shanghai Jiao Tong University, 2019,53(8):928-935.
[19]于德介,成琼,程军圣.基于复解析小波变换的瞬时频率分析方法[J].振动与冲击, 2004, 23(1):108-111.
YU Dejie, CHENG Qiong, CHENG Junsheng. Transient frequency analysis based on complex analytical wavelet transform and its application to fault diagnosis gear drive[J]. Journal of Vibration and Shock, 2004, 23(1):108-111.
[20]孙挺,耿国华,郑恩明,等. 基于子空间方位稳定性的弱目标检测方法[J].上海交通大学学报,2018,52(4): 480-487.
SUN Ting,GENG Guohua,ZHENG Enming,et al. The weak target detection method based on the subspace bearing stability[J]. Journal of Shanghai Jiao Tong University 2018,52(4):480-487.

PDF(2555 KB)

356

Accesses

0

Citation

Detail

段落导航
相关文章

/