Journal of Systems Engineering and Electronics ›› 2018, Vol. 29 ›› Issue (4): 676-683.doi: 10.21629/JSEE.2018.04.02

• Electronics Technology • Previous Articles     Next Articles

Sparse channel recovery with inter-carrier interference self-cancellation in OFDM

Jiansheng HU1,2,*(), Zuxun SONG1(), Shuxia GUO1(), Qian ZHANG2(), Dongdong SHUI2()   

  1. 1 School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China
    2 School of Information Engineering, Engineering Universtiy of Chinese People's Armed Police Force, Xi'an 710086, China
  • Received:2017-06-07 Online:2018-08-01 Published:2018-08-30
  • Contact: Jiansheng HU E-mail:hujiansheng121@163.com;zxsong@nwpu.edu.cn;guoshuxia0223@163.com;zhangqianjy@163.com;1636652148@qq.com
  • About author:HU Jiansheng received his Bachelor and Master degrees in Telecommunications College, Air Forces Engineering University in 2006 and 2009 respectively. He is a Ph.D. candidate at School of Electronics and Information, Northwestern Polytechnical University. His research interests are unmanned aerial vehicle (UAV) data link, channel estimation and the signal process based on compressive sensing. E-mail: hujiansheng121@163.com|SONG Zuxun received his Bachelor, Master, and Ph.D. degrees from School of Electronics and Information, Northwestern Polytechnical University in 1986, 1989, and 2004 respectively. He now is a professor at the School of Electronics and Information, Northwestern Polytechnical University. His research interests include signal information acquisition and processing, overall design of microwave communication link, and electro magnetic compatibility design and diagnosis. E-mail: zxsong@nwpu.edu.cn|GUO Shuxia received her Bachelor degree from Shenyang Ligong University in 1986, Master and Ph.D. degrees from Northwestern Polytechnical University in 2002 and 2008 respectively. She now is an associate professor at the School of Electronics and Information, Northwestern Polytechnical University. Her research interests include signal information acquisition and processing and electromagnetic environment simulation. E-mail: guoshuxia0223@163.com|ZHANG Qian received her Bachelor and Master degrees from Engineering University of Chinese People's Armed Police Force in 2007 and 2010 respectively. She is currently working as a teaching assistant at Engineering University of Chinese People's Armed Police Force. Her research interests are wireless sensor network and network security. E-mail: zhangqianjy@163.com|SHUI Dongdong received his Bachelor and Master degrees from Engineering University of Chinese People's Armed Police Force in 2001 and 2004 respectively. He is currently working as teaching assistant at Engineering University of Chinese People's Armed Police Force. His research interests are UAV mission planning and military communication. E-mail: 1636652148@qq.com
  • Supported by:
    the National Natural Science Foundation of China(61571368);This work was supported by the National Natural Science Foundation of China (61571368)

Abstract:

A new sparse channel estimation method of orthogonal frequency division multiplexing (OFDM) system based on intercarrier interference (ICI) self-cancellation is investigated. Firstly, based on the characteristic that the ICI generated by a subcarrier to the two adjacent subcarriers is approximately equal, a data pair with opposite sign and equal magnitude is modulated onto two adjacent subcarriers as pilot pair to eliminate the effect of ICI on pilots. Secondly, a new OFDM channel estimation model based on linear time-varying (LTV) model and compressed sensing (CS) is constructed, which obtains the mean of the gains of the multipath. Finally, a pilot pair optimization algorithm based on two layers loop is used to realize the minimization of the mutual coherence of the measurement matrix. For time-varying channel scenes with different numbers or delay of multipath and maximum Doppler frequency shift, the performances of several channel estimation methods are verified by simulation. The result shows that the new method has obvious advantage in both the performance of the channel estimation and the spectral efficiency.

Key words: orthogonal frequency division multiplexing (OFDM), channel estimation, compressed sensing (CS), inter-carrier interference (ICI), pilot design