双基地MIMO雷达收发角及多普勒频率的联合估计算法

张剑云; 郑志东; 李小波

doi:10.3724/SP.J.1146.2009.01133

双基地MIMO雷达收发角及多普勒频率的联合估计算法

doi: 10.3724/SP.J.1146.2009.01133

计量
- 文章访问数: 3766
- HTML全文浏览量: 96
- PDF下载量: 1318
- 被引次数: 0
出版历程
- 收稿日期: 2009-08-25
- 修回日期: 2010-01-18
- 刊出日期: 2010-08-19

An Algorithm for DOD-DOA and Doppler Frequency Jointly Estimating of Bistatic MIMO Radar

摘要

摘要: 该文提出了一种基于平行因子分析的双基地MIMO雷达发射角、接收角及多普勒频率的联合估计算法。推导了SweilingII目标模型下的接收信号表示式，表明它具有三面阵模型特性。分析了该模型分解的唯一性，并从三线性最小二乘迭代得到的矩阵中完成参数估计。该算法充分利用接收端输出的所有信息，且每次迭代具有精确的最小二乘闭式解，消除了多次特征分解的误差积累，因此提高了估计精度。同时能够实现自动配对，降低了运算量。仿真试验验证了理论分析的有效性。
- 双基地MIMO雷达 /
- 收发角度 /
- 多普勒频率 /
- 平行因子分析 /
- 三线性最小二乘
Abstract: A new algorithm to jointly estimate the DOD-DOA and Doppler frequency of bistatic MIMO radar is proposed based on the parallel factor. The receiver signal expression is derived under SweilingII target model, which shows it has three-way array model characteristics. Therefore, the uniqueness of the low-rank three-way array model decomposition is analysed. And the three parameters are jointly estimated from three matrices that are obtained from the low-rank decomposition. The new algorithm uses all of the received data and eliminates the error propagation of the several eigen decompositions because each iteration possesses a typical least square problem with a unique closed solution. Hence the estimation accuracy is increased. Furthermore, the estimated parameters are automatically paired without the additional pairing method, which the computational complexity of the proposed algorithm is reduced. Finally, simulation results are presented to verify the effectiveness of the proposed method.
- Bistatic MIMO radar /
- Direction Of Arrival-Direction Of Departure (DOA-DOD) /
- Doppler frequency /
- PARAllel FACtor (PARAFAC) /
- Trilinear Alternating Least Squares (TALS)

HTML全文

参考文献(1)

Fisher E, Haimovich A, and Blum R S, et al.. Spatial diversityin radar-models and detection performance[J].IEEETransactions on Signal Processing.2006, 54(3):823-838[2]Haimovich A M, Blum R S, and Lenard J, et al.. MIMO radarwith widely separated antennas[J].IEEE Signal ProcessingMagazine.2008, 25(1):116-129[3]Li Jian and Stoica P. MIMO radar with colocated antennas[J].IEEE Signal Processing Magazine, 2007, 24(5): 106-114.[4]Yan H, Li J, and Liao G. Multitarget identification andlocalization using bistatic MIMO radar systems[J].EURASIP Journal on Advance in Signal Processing, 2008,8(2): 1-8.[5]Jin Ming, Liao Gui-sheng, and Li Jun. Joint DOD and DOAestimation for bistatic MIMO radar[J]. Signal Processing ofELSEVIER Science, 2009, 89(2): 244-251.[6]Duofang C, Baixiao C, and Guodong Q. Angle estimationusing ESPRIT in MIMO radar[J].IEEE Electronics Letters.2008, 44(12):770-771[7]陈金立, 顾红, 苏卫民. 一种双基地MIMO 雷达快速多目标定位方法[J].电子与信息学报.2009, 31(7):1664-1668浏览[8]屈金佑, 张剑云. MIMO 雷达的相干脉冲串检测性能[J],电子与信息学报, 2009, 31(2): 378-381Qu Jin-you and Zhang Jian-yun. Detection performance ofMIMO radar for coherent pulses[J].. Journal of Electronics Information Technology.2009, 31(2):378-381[9]Sidiropoulos N D and Bro R. Blind PARAFAC receivers forDS-CDMA systems[J].IEEE Transactions on SignalProcessing.2000, 48(3):810-823[10]Sidropoulos N D and Giannakos G B. Parallel factor analysisin sensor array procesing[J].IEEE Transactions on SignalProcessing.2000, 48(8):2377-2388[11]梁军利, 翼邦杰, 赵峰等. 一种基于平行因子分析的近场源定位新方法[J]. 电子学报, 2007, 35(10): 1909-1915.Liang Jun-li, Ji Bang-jie, and Zhao Feng, et al.. A newnear-field source localization algorithm using parallel factoranalysis[J]. Acta Electronica Sinica, 2007, 35(10): 1909-1915.[12]Sidiropoulos N D and Liu X. PARAFAC methods fordeterministic blind beamforming identifiability[J].IEEETransactions on Signal Processing.2001, 49(1):228-236[13]Rong Y, Vorobyov S A, and Gershman A B, et al.. Blindspatial signature estimation via time-varying user powerloading and parallel factor analysis[J].IEEE Transactions onSignal Processing.2005, 53(5):1697-1710

施引文献

资源附件(0)

访问统计