Multiple Antenna Channel Estimation Technology in Complex Electromagnetic Environment
HU Su①② GUO Huiting① WU Gang①
①(National Communication Laboratory, University of Electronic Science and Technology of China, Chengdu 610054, China) ②(Information Perception Technology Collaborative Innovation Center, Xi’an 710071, China)
For channel estimation technology of multiple antenna communication system based on cognitive radio architecture, traditional zero correlation zone sequences (which assume the availability of the entire spectral band) can not be used because their orthogonality will be destroyed by the spectrum hole constraint. This paper introduces the channel estimation algorithm in multiple antenna communication system and points out the requirement of the ideal sequence set, then on complex electromagnetic environment, i.e., under the condition of the existence of spectrum holes, joints optimization evaluation indexes of limited spectrum and good cycle correlation degree, designs a suitable sequence set, which can be applied to the channel estimation algorithm of cognitive radio system. The simulation results verify the effectiveness of the new sequence set.
GONG Shuping. Channel estimation technology research in the wireless area network and cognitive radio[D]. [Master dissertaion], University of Electronic Science and Technology of China, 2007.
[4]
HU Su, LIU Zilong, and Guan Yongliang. Sequence design for cognitive CDMA communications under arbitrary spectrum hole constraint[J] . IEEE Transactions on Communications, 2014, 32(11): 1974-1986.
HU Su, TANG Wanbin, and WANG Jun. Transform Domain Communication System[M]. Beijing: National Defence Industry Press, 2015: 60-85.
[6]
AKIN S and GURSOY M C. Performance analysis of cognitive radio systems with imperfect channel sensing and estimation[J]. IEEE Transactions on Communications, 2015, 63(5): 1554-1566.
[7]
KIM Hyun Myung, KIM Dongsik, and KIM Tae Kyoung. Frequency domain channel estimation for MIMO SC-FDMA systems with CDM pilots[J]. The Journal of Communications and Networks, 2014, 16(4): 447-457.
[8]
OROZE LUGO A G, LARA M M, and MCLEMON D C. Channel estimation using implicit training[J]. IEEE Transactions on Signal Processing, 2004, 52(1): 240-254.
[9]
ZHANG Peichang, CHEN Sheng, and HANZO L. Two-tier channel estimation aided near-capacity MIMO transceivers relying on norm-based joint transmit and receive antenna selection[J]. IEEE Transactions on Wireless Communications, 2015, 14(1): 122-137.
[10]
HE Hao, LI Jian, and PETRE S. Waveform Design For Active Sensing Systems[M]. UK, Cambridge University Press, 2012: 74-80.
[11]
SONG Junxiao, PRABHU B, and DANIEL P. Optimization methods for designing sequences with low autocorrelation sidelobes[J]. IEEE Transactions on Signal Processing, 2015, 63(15): 3998-4009.
[12]
SCUTARI G, FACCHINEI F, and SONG P. Decomposition by partial linearization: parallel optimization of multi-agent systems[J]. IEEE Transactions on Signal Processing, 2014, 62(3): 641-656.
[13]
SOLTANALIAN M and STOICA P. Designing unimodular codes via quadratic optimization[J]. IEEE Transactions on Signal Processing, 2014, 62(5): 1221-1234.
[14]
LUSS R and TEBOULLE M. Conditional gradient algorithms for rank-one matrix approximations with a sparsity constraint[J]. SIAM Review, 2013, 55(1): 65-98.
[15]
TSAI L S, CHUNG W H, and SHIU D S. Syntehsizing low autocorrelation and low PAPR OFDM sequences under spectral constraints through convex optimization and GS algorithm[J]. IEEE Transactions on Signal Processing, 2011, 59(5): 2234-2243.
[16]
HU Su, GUOAN Bi, and GUAN Yongliang. TDCS-based cognitive radio networks with multiuser interference avoidance[J]. IEEE Transactions on Communications, 2013, 61(12): 4828-4835.
[17]
TSAI L S, CHUNG W H, and SHIU D S. Lower bounds on the correlation property for OFDM sequences with spectral-null constraints[J]. IEEE Transactions on Wireless Communications, 2011, 10(8): 2652-2659.
[18]
TANG X, FAN P, and MATSUFUJI S. Lower bounds on correlation of spreading sequence set with low or zero correlation zone[J]. Electron Letters, 2000, 36(6): 551-552.
[19]
WELCH L R. Lower bounds on the maximum cross correlation of signals[J]. IEEE Transactions on Information Theory, 1974, 20(3): 397-399.
[20]
SARWATE D V. Bounds on cross correlation and autocorrelation of sequences[J]. IEEE Transactions on Information Theory, 1979, 25(6): 720-724.
