基于小波阈值去噪和共轭模糊函数的时频差联合估计算法

窦慧晶; 王千龙; 张雪

doi:10.11999/JEIT150878

基于小波阈值去噪和共轭模糊函数的时频差联合估计算法

doi: 10.11999/JEIT150878

基金项目:

国家自然科学基金(61171137)，北京市教委科研发展计划(KM201210005001)

计量
- 文章访问数: 1543
- HTML全文浏览量: 201
- PDF下载量: 373
- 被引次数: 0
出版历程
- 收稿日期: 2015-07-23
- 修回日期: 2015-11-19
- 刊出日期: 2016-05-19

A Joint Estimation Algorithm of TDOA and FDOA Based on Wavelet Threshold De-noising and Conjugate Fuzzy Function

Funds:

The National Natural Science Foundation of China (61171137), Beijing Municipal Education Commission Research and Development Programs (KM201210005001)

摘要

摘要: 为了解决二阶互模糊函数对相关噪声处理的局限性问题，以及基于四阶累积量的联合估计算法的运算量大的问题，该文利用小波阈值去噪方法结合非圆信号的特性，提出一种新的时频差联合估计算法。该方法首先对接收信号进行小波阈值去噪，然后构造共轭模糊函数，最后再进行2维搜索，得到时差和频差参数。仿真实验给出不同信噪比下的参数估计结果，得出这种算法能抑制相关噪声，又能相对降低运算复杂度，并且在较低信噪比下也能做出准确估计。
- 信号处理 /
- 小波阈值去噪 /
- 非圆信号 /
- 共轭模糊函数 /
- 联合估计
Abstract: To solve the problem that the second-order fuzzy function can not deal with related noise, as well as the problem of large computation based on fourth-order cumulants joint estimation algorithm, this paper proposes a new joint estimation algorithm of TDOA and FDOA by using wavelet thresholding denoising method combined with characteristics of non-circular signals. The method operates firstly wavelet thresholding denoising for the received signal, then constructs conjugate fuzzy function, and finally two-dimensional search is made to obtain the time difference and frequency difference parameters. The simulation experimental results under different signal-to- noise ratio show that the proposed algorithm can not only suppress correlated noise, but also has relatively lower computational complexity and also can make accurate estimation under low signal-to-noise ratio.
- Signal processing /
- Wavelet threshold de-noising /
- Non-circular signal /
- Conjugate fuzzy function /
- Joint estimation

HTML全文

参考文献(24)

WU Shilong, LUO Jingqing, and GONG Liangliang. Joint FDOA and TDOA location algorithm and performance analysis of dual-satellite formations[C]. 2010 2nd International Conference on Signal Processing Systems (ICSPS), Dalian, 2010, V2-339-V2-342. doi: 10.1109/ICSPS. 2010.5555463.

YEREDOR A. Quantifying the advantages of joint processing in TDOA estimation[C]. IEEE 7th Sensor Array and Multichannal Signal Processing Workshop (SAM), Hoboken, NJ, 2012: 205-208. doi: 10.1109/SAM. 2012. 6250468.

DANDAWATR A V and GIANNAKIS G B. Differential delay-Doppler estimation using second- and higher-order ambiguity functions[J]. IEE Proceedings F, Radar and Signal Processing, 1993, 140(6): 410-418.

蒋柏峰, 吕晓德, 赵耀东, 等. 一种基于DTTB信号的无源相干雷达模糊函数快速算法[J]. 电子与信息学报, 2013, 35(3): 589-594. doi: 10.3724/SP.J.1146.2012.00900.

JIANG Baifeng, LV Xiaode, ZHAO Yaodong, et al. A fast algorithm of ambiguity function for passive coherent radar based on DTTB signal[J]. Journal of Electronics Information Technology, 2013, 35(3): 589-594. doi: 10.3724/ SP.J.1146.2012.00900.

柏如龙, 刘承禹, 李鑫. CDMA信号时差频差联合估计算法研究[J]. 无线电工程, 2013, 43(6): 21-25.

BAI Rulong, LIU Chengyu, and LI Xin. Research on TDOA/FDOA joint estimation algorithm for CDMA signals[J]. Radio Engineering, 2013, 43(6): 21-25.

杨宇翔, 夏畅雄, 同武勤. 高低轨双星定位中的时变时频差参数估计[J]. 信号处理, 2012, 28(10): 1465-1474.

YANG Yuxiang, XIA Changxiong, and TONG Wuqin. Estimation of the time varying TDOA and FDOA in GEO-LEO dual-satellites location system[J]. Signal Processing, 2012, 28(10): 1465-1474.

张威, 边东明, 张更新, 等. 基于四阶互模糊函数的TDOA/FDOA参数估计研究[J]. 无线电通信技术, 2013, 39(1): 28-31.

ZHANG Wei, BIAN Dongming, ZHANG Gengxin, et al. Based on the fourth-order mutual fuzzy function of TDOA/FDOA parameter estimation research[J]. Radio Communications Technology, 2013, 39(1): 28-31.

WANG Hongzhi, XU Peixin, and BI Aiqi. A new adaptive time delay estimation using fourth-order cumulants based on polarity iterative[C]. 2014 International Conference on Information Science, Electronics and Electrical Engineering (ISEEE), Sopporo, 2014, 1: 257-259.

侯慧娟, 盛戈皞, 朱文俊, 等. 基于高阶累积量的局部放电超高频信号时延估计算法[J]. 高电压技术, 2013, 39(2): 342-347. doi: 10.3969/j.issn.1003-6520.2013.02.013.

HOU Huijuan, SHENG Gehao, ZHU Wenjun, et al. Time-delay estimation algorithm of partial deischarge ultra high frequency signals based on higher-order cunmulant[J]. Voltage Engineering, 2013, 39(2): 342-347. doi: 10.3969/ j.issn.1003-6520.2013.02.013.

李文雪. 双星干扰源定位系统时差频差参数估计研究[D].[硕士论文], 北京工业大学, 2014.

LI Wenxue. Research on TDOAFDOA estimation based on double satellite interference localization system[D]. [Master dissertation], Beijing University of Technology, 2014.

文飞. 非圆信号参数估计方法研究[D]. [博士论文], 电子科技大学, 2014.

WEN Fei. Reserch on the non-circular signal parameter estimation method[D]. [Ph.D. dissertation], University of Electronic Science and Technology of China, 2014.

YAO Guangxiang, LIU Zhiwen, and XU You-gen. TDOA/FDOA joint estimation in a correlated noise environment[C]. IEEE International Symposium on Microwave, Antenna, Propagation and Technologies, Beijing, 2005, 1: 831-834.

齐晓东, 陆春伟, 徐友根, 等. 基于共轭模糊函数的时差-频差联合估计方法[J]. 航天电子对抗, 2009, 25(6): 58-61.

QI Xiaodong, LU Chunwei, XU Yougen, et al. TDOA-FDOA estimation with conjugate ambiguity function[J]. Aerospace Electronic Warfare, 2009, 25(6): 58-61.

DOU Hui-jing, LEI Qian, CHENG Jun, et al. Research on TDOA parameters estimation for satellite interference location[C]. 2012 IEEE 11th International Conference on Signal Processing (ICSP), Beijing, 2012, 1: 259-262.

吴光文, 王昌明, 包建东, 等. 基于自适应阈值函数的小波阈值去噪方法[J]. 电子与信息学报, 2014, 36(6): 1340-1347. doi: 10.3724/SP.J.1146.2013.00798.

WU Wenguang, WANG Changming, BAO Jiandong, et al. A wavelet threshold de-noising algorithm based on adaptive threshold function[J]. Journal of Electronics Information Technology, 2014, 36(6): 1340-1347. doi: 10.3724/SP.J. 1146.2013.00798.

施引文献

资源附件(0)

访问统计