基于m-Capon的多阵列直接定位算法
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摘要
多重信号分类(Music)直接定位算法需要先估计目标个数,然后根据目标个数估计确定其噪声子空间,进而得到空间谱函数。在低信噪比情况下,目标个数估计的错误往往会导致直接定位算法的失效。针对上述问题,提出了一种基于m-Capon的多阵列目标直接定位算法。该算法综合了Capon算法无需目标个数估计和Music算法定位性能较高的优点,在不进行目标个数估计的情况下,利用近似估计的方法得到逼近于Music算法的空间谱函数,解决了Capon算法在低信噪比下性能不足的问题。仿真结果表明,在无需估计目标个数的条件下,所提算法的性能与Music算法的性能大致相同,且逼近于克拉美罗下界。
The multi-signal classification(Music)algorithm needs to estimate the number of targets first and determine the noise subspace according to the estimated target number,and then the spatial spectral function is obtained. In the case of low signal-to-noise ratio,the error of the estimated number of targets often leads to the failure of the direct positioning algorithm. A multi-array target direct positioning algorithm based on m-Capon is proposed to solve the problems.This algorithm combines the advantages of Capon without estimating the target number and the higher positioning performance of Music. Without the estimation of the target number,the approximate spectral method is used to approximate the spatial spectrum function of Music. The algorithm solves the problem of low positioning performance of Capon algorithm at low SNR. The simulation results show that the performance of the proposed algorithm is almost the same as that of Music algorithm and approachs CRLB without estimating the number of targets.
The multi-signal classification(Music)algorithm needs to estimate the number of targets first and determine the noise subspace according to the estimated target number,and then the spatial spectral function is obtained. In the case of low signal-to-noise ratio,the error of the estimated number of targets often leads to the failure of the direct positioning algorithm. A multi-array target direct positioning algorithm based on m-Capon is proposed to solve the problems.This algorithm combines the advantages of Capon without estimating the target number and the higher positioning performance of Music. Without the estimation of the target number,the approximate spectral method is used to approximate the spatial spectrum function of Music. The algorithm solves the problem of low positioning performance of Capon algorithm at low SNR. The simulation results show that the performance of the proposed algorithm is almost the same as that of Music algorithm and approachs CRLB without estimating the number of targets.
引文
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[2] WATSON W D. 3D active and passive geolocation andtracking of unmanned aerial systems[C]//IEEEInternational Symposium on Technologies for HomelandSecurity. IEEE,2017.
[3] XU X F,DUAN C D,LIU L J,et al. A direction-of-arrivalestimation method via joint diagonalization[J]. WirelessPersonal Communications,2017,35(3):1-10.
[4]LI W,ZHANG Y,LIN J,et al. Wideband direction of arrivalestimation in the presence of unknown mutual coupling[J].Sensors,2017,17(2):156-169.
[5]SHIEH C S,LIN C T. Direction of arrival estimation based onphase differences using neural fuzzy network[J]. IEEETransactions on Antennas&Propagation,2000,48(7):1115-1124.
[6] SCHMIEDER L,MELLON D,SAQUIB M. Interferencecancellation and signal direction finding with low complexity[J]. IEEE Transactions on Antennas&Propagation,2015,46(3):1052-1063.
[7] YANG R,FOO P H,NG B P,et al. RF emitter geolocationusing amplitude comparison with auto-calibrated relativeantenna gains[J]. IEEE Transactions on Aerospace&Electronic Systems,2011,47(3):2098-2110.
[8]屈晓旭,罗勇.电子战目标定位方法[M].北京:电子工业出版社,2008:24-28.
[9]AMAR A,WEISS A J. Localization of narrowband radioemitters based on doppler frequency shifts[J]. IEEETransactions on Signal Processing,2008,56(11):5500-5508.
[10] WEISS A J. Direct geolocation of wideband emitters basedon delay and doppler[J]. IEEE Transactions on SignalProcessing,2006,143(1):15-25.
[11]OISPUU M,NICKEL U. Direct detection and positiondetermination of multiple sources with intermittent emission[J]. Signal Processing,2010,90(12):3056-3064.
[12]马贤同,罗景青,张奎.面向DOA测量的多目标位置信息场定位法[J].信号处理,2013,29(1):121-126.
[13]马贤同,罗景青.目标位置信息场分析定位法[J].计算机工程与应用,2014,50(13):214-218.
[14]陈明建,罗景青,龙国庆.基于协方差矩阵估计的稳健Capon波束形成算法[J].火力与指挥控制,2016,41(10):94-97.
[15]唐硕,甘泉,张顺生.分布式相控阵雷达目标定位算法研究[J].现代雷达,2014,36(7):42-45.
[16]尤丹丹.基于分布式相控阵雷达的目标定位研究[D].成都:电子科技大学,2014.
[17]张涛麟,刘颖,廖桂生.一种未知信源数的高分辨DOA估计算法[J].电子与信息学报,2008,30(2):375-378.
[18]巴斌,胡捍英,郑娜娥,等.基于逼近噪声子空间的求根时延估计算法[J].太赫兹科学与电子信息学报,2016,14(4):630-635.
[19]STOICA P,STOICA N. MUSIC,Maximum likelihood,andcramer-rao bound[J]. IEEE Transactions on AcousticsSpeech&Signal Processing,1990,37(5):720-741.