SVD-TLD Sensing Algorithm for EES-MIMO Radar

Abstract:

Based on Electromagnetic Environmental Sensory(EES)and Multiple-input Multiple-Out(MIMO) radar sensing algorithm , this paper presents SVD-TLD perception algorithm, which firstly use the cross-spectrum AR model parameter estimation, and secondly considering the cross-correlation matrix of the estimation error function disturbance and lastly taking into account of the two ends of the equation, using the cross-correlation function of the estimated measurement errors to affect the Total Least Squares (TLS) method . Compared with the AR model parameter estimation, the accuracy of SVD algorithm cross-spectral estimation has significantly improved, greatly reducing the amount of computation and is more conducive to real-time online computing.

• Periodical: Advanced Materials Research (Volumes 1006-1007)
• Pages: 815-820
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1006-1007.815
• Online since: August 2014
• Authors: Zhen Wang, Lan Xiang Zhu*, Feng Yu, Lei Gu
• Keywords: EES-MIMO Radar, Electromagnetic Environment Perception Algorithms, MIMO Radar

References

[1] Bliss DW, Forsythe KW, Multiple-Input Multiple-Output(MIMO) radar and imaging: Degreeos freedom and resolution[A], In: Conference Record of the 37th Asilomar Conference on Signals, Systems and Computers[C], 2003, pp.54-59.

DOI: 10.1109/acssc.2003.1291865

[2] Fishler E, Haimovieh A H, Blum R S, et al. MIMO radar: An idea whose time has come[A]. In Proc. of the IEEE Radar Conferenee[C], 2004, pp.71-78.

DOI: 10.1109/nrc.2004.1316398

[3] Zhu lanxiang, Theories and Methods of MIMO radar signal processing electromagnetic environment perception , Jilin University, PhD thesis , 2013, p.06.

[4] Wang Chuandan, Zhang Zhongpei , Li Shaoqian, Deleting the linear frequency modulation jams in the TDCS [C]. The 2008 International Conference on Embedded Software and Systems Symposia, Jul. 2008, pp.410-415.

DOI: 10.1109/icess.symposia.2008.48

[5] Wang chuanDan , Zhang Zhongpei , Li Shaoqian , Transform domain communication system eliminates interference successive signals [J]. Electronics & Information Technology , 2008, 30 ( 10 ) pp.2439-2441.

DOI: 10.1109/icact.2007.358710

[6] HU-book Digital Signal Processing - theory, algorithms and implementation of Beijing : Tsinghua University Press, 2012 -10.

[7] Zhang Xian of modern signal processing Beijing : Tsinghua University Press . 2002-10.

[8] Yao Tianren, SUN Hong modern digital signal processing Wuhan : Huazhong University of Science and Technology Press , 1999-2002, 11.

[9] Huang fukan , Chen Jianwen , Building Strong Health modern digital signal processing Beijing : Electronic Industry Press . 2004.

[10] He Zhiqing design, modeling and simulation of transform domain communication system [D] , Xi'an: Northwestern Polytechnical University, 2003.

[11] Yu Xiaohui colored noise in the background of Chirp signal parameter estimation. Research and delay estimation method , Jilin University, a master's degree thesis , 2004. 5.

[12] John Proakis, Masoud alehi. Digital communications, 5th Edition [M]. McGraw-Hill, 2007. 11.

[13] Kefeng Tan, Jean Andrian, Hao Zhu, Frank M. Candocia, Chi Zhou. A novel spectrum encoding MIMO communication system [J]. Wireless Personal Communications, 2010, 52(1), pp.147-163.

DOI: 10.1007/s11277-008-9506-1

[14] Chakravarthy V, Nunez A. S., Stephens J. P., Shaw A. K. Temple M. A. TDCS, OFDM and MC-CDMA: a brief tutorial [J]. IEEE Communication Magazine, 2005, 43(9). pp. S11-S1.

DOI: 10.1109/mcom.2005.1509966

[15] Fang Chongzhi , Process Identification , Beijing , Tsinghua University Press , 1988. 08.