基于互相关的快速角度估计算法

徐成发; 郝宇星; 陆潞; 高梅国

doi:10.11999/JEIT151021

基于互相关的快速角度估计算法

doi: 10.11999/JEIT151021

计量
- 文章访问数: 1197
- HTML全文浏览量: 158
- PDF下载量: 528
- 被引次数: 0
出版历程
- 收稿日期: 2015-09-10
- 修回日期: 2016-01-22
- 刊出日期: 2016-06-19

Fast Angle Estimation Algorithm Based on Cross-correlation

摘要

摘要: 在自跟踪接收机中，当输入信噪比较低时，需要通过相参积累来提高信噪比才能获得满意的测角精度。传统提高信噪比的方法为通道内的码捕获算法，需要进行在时间维和多普勒维的2维搜索，必要时还需要进行第3维位跳变的搜索补偿，运算量非常大，无法实现快速测角。该文提出一种基于通道间互相关的相参积累快速测角算法，新算法具有结构简单、运算量低、几乎零延迟的优点，且测角精度可以达到传统相参积累方法的水平，容易满足自跟踪接收机快速测角的要求；理论推导和仿真验证了新算法的有效性。
- 快速角度测量 /
- 互相关 /
- 自跟踪接收机 /
- 干涉仪
Abstract: In the system of auto-tracking receiver, the coherent integration is needed to increase the signal-to-noise ratio so that the angle measuring accuracy can be obtained satisfactorily when signal-to-noise ratio is low. The traditional method to improve the signal-to-noise ratio is the code-acquisition algorithm in channels respectively, which needs to do the two-dimensional searching both in the time and in Doppler dimension. The third dimension bit jump searching is needed when necessary. Therefore, the computation is huge and it can not be used in fast angle estimation cases. In this paper, a kind of coherent integration angle measuring algorithm based on cross- correlation between channels is proposed. The new algorithm has the characteristics of simple structure, low computation, almost zero delay. Meanwhile, the angle measuring accuracy of the new algorithm can be up to the level of the traditional method, and thus can meet the auto-tracking receiver requirement easily. The theoretical derivation and simulation results verify the effectiveness of the new algorithm.
- Fast angle estimation /
- Cross-correlation /
- Auto-tracking receiver /
- Interferometer

HTML全文

参考文献(28)

黎孝纯, 薛丽. 对宽带数据传输信号的角跟踪理论[J]. 电子学报, 2005, 33(10): 1799-1802. doi: 10.3321/j.issn:0372-2112. 2005.10.016.

LI Xiaochun and XUE Li. Theory of angle tracking for broadband data transferred signal[J]. Acta Electronica Sinica, 2005, 33(10): 1799-1802. doi: 10.3321/j.issn:0372-2112.2005. 10.016.

王永庆, 吴嗣亮. 新的非合作直扩信号目标的跟踪测角算法[J]. 北京理工大学学报, 2008, 28(10): 902-905.

WANG Yongqing and WU Siliang. New algorithm of angle tracking for non-cooperative direct sequence spread spectrum signals[J]. Transactions of Beijing Institute of Technology, 2008, 28(10): 902-905.

王建, 袁宵, 李禹. 利用互相关和 Hough 变换快速检测探地雷达目标[J]. 电子与信息学报, 2013, 35(5): 1156-1162. doi: 10.3724/SP.J.1146.2012.01134.

WANG Jian, YUAN Xiao, and LI Yu. Fast detection of ground penetrating radar objects based on cross correlation and Hough transform[J]. Journal of Electronics Information Technology, 2013, 35(5): 1156-1162. doi: 10.3724/SP.J.1146.2012.01134.

安良, 陈励军, 方世良. 水声被动定位中的互相关峰模糊现象及解模糊算法研究[J]. 电子与信息学报, 2013, 35(12): 2948-2953. doi: 10.3724/SP.J.1146.2013.00807.

AN Liang, CHEN Lijun, and FANG Shiliang. Investigation on correlation peaks ambiguity and ambiguity elimination algorithm in underwater acoustic passive localization[J]. Journal of Electronics Information Technology, 2013, 35(12): 2948-2953. doi: 10.3724/SP.J.1146.2013.00807.

陶建武, 石要武, 常文秀. 基于均匀圆阵的信号二维方向角互相关估计[J]. 电子学报, 2003, 31(6): 875-878. doi: 10.3321/ j.issn:0372-2112.2003.06.019.

TAO Jianwu, SHI Yaowu, and CHANG Wenxiu. Crosscorrelation estimator of azimuth-elevation with UCAs [J]. Acta Electronica Sinica, 2003, 31(6): 875-878. doi: 10.3321/j.issn:0372-2112.2003.06.019.

董玫, 张守宏, 吴向东, 等. 一种改进的空间平滑算法[J]. 电子与信息学报, 2008, 30(4): 859-862.

DONG Mei, ZHANG Shouhong, WU Xiangdong, et al. An improved spatial smoothing technique[J]. Journal of Electronics Information Technology, 2008, 30(4): 859-862.

MIKKI S M and ANTAR Y M M. On cross correlation in antenna arrays with applications to spatial diversity and MIMO systems[J]. IEEE Transactions on Antennas and Propagation, 2015, 63(4): 1798-1810. doi: 10.1109/TAP.2015. 2398113.

BYARD K. Application of fast cross-correlation algorithms[J]. Electronics Letters, 2015, 51(3): 242-244. doi: 10.1049/el. 2014.3872.

KORTBEK J and JENSEN J A. Estimation of velocity vector angles using the directional cross-correlation method [J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2006, 53(11): 2036-2049. doi: 10.1109/ TUFFC.2006.144.

LENGE M, RAMALLI A, BONI E, et al. High-frame-rate 2-D vector blood flow imaging in the frequency domain[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2014, 61(9): 1504-1514. doi: 10.1109/ TUFFC.2014.3064.

PIHL M J and JENSEN J A. A transverse oscillation approach for estimation of three-dimensional velocity vectors, Part I: concept and simulation study[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2014, 61(10): 1599-1607. doi: 10.1109/TUFFC.2013.006237.

KAYSER H, ANEMULLER J, and ADILOGLU K. Estimation of inter-channel phase differences using non- negative matrix factorization[C]. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), A Coruna, Spain, 2014: 22-25. doi: 10.1109/SAM.2014.6882342.

PERCIVAL G and TZANETAKIS G. Streamlined tempo estimation based on autocorrelation and cross-correlation with pulses[J]. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2014, 22(12): 1765-1776. doi: 10.1109/TASLP.2014.2348916.

李磊, 任丽香, 毛二可, 等. 频率步进信号距离像互相关精确测速算法[J]. 北京理工大学学报, 2011, 31(6): 708-712.

LI Lei, REN Lixiang, MAO Erke, et al. Accurate velocity measurement of range profile cross correlation in Stepped- Frequency signal[J]. Transactions of Beijing Institute of Technology, 2011, 31(6): 708-712.

LIAO Guisheng and LI Hai. Estimation method for InSAR interferometric phase based on generalized correlation steering vector[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(3): 1389-1403. doi: 10.1109/ TAES.2010.5545196.

KITSUNEZUKA M and PISTER K S J. Cross-correlation- based, phase-domain spectrum sensing with low-cost software-defined radio receivers[J]. IEEE Transactions on Signal Processing, 2015, 63(8): 2033-2048. doi: 10.1109/TSP. 2015.2407324.

AZARIA M and HERTZ D. Time delay estimation by generalized cross correlation methods[J]. IEEE Transactions on Acoustics, Speech and Signal Processing, 1984, 32(2): 280-285. doi: 10.1109/TASSP.1984.1164314.

LEE Bowon, SAID A, KALKER T, et al. Maximum likelihood time delay estimation with phase domain analysis in the generalized cross correlation framework[C]. Hands-Free Speech Communication and Microphone Arrays, (HSCMA), Trento, 2008: 89-92. doi: 10.1109/HSCMA.2008.4538695.

VUCIJAK N M and SARANOVAC L V. A simple algorithm for the estimation of phase difference between two sinusoidal voltages[J]. IEEE Transactions on Instrumentation and Measurement, 2010, 59(12): 3152-3158. doi: 10.1109/TIM. 2010.2047155.

罗鹏飞, 张文明. 统计信号处理基础[M]. 北京: 北京电子工业出版社, 2011: 423-428.

LUO Pengfei and ZHANG Wenming. Fundamentals of Statistical Signal Processing[M]. Beijing: Publishing House of Electronics Industry, 2011: 423-428.

施引文献

资源附件(0)

访问统计