A new method to estimate DOA in CDMA system in multi-path environment

Zhi-yong Shan , Xi-lang Zhou , Qi Zhang

Journal of Central South University ›› 2006, Vol. 13 ›› Issue (3) : 270 -274.

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Journal of Central South University ›› 2006, Vol. 13 ›› Issue (3) : 270 -274. DOI: 10.1007/s11771-006-0122-5
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A new method to estimate DOA in CDMA system in multi-path environment

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Abstract

An algorithm for direction angle of arrival(DOA) estimation and array calibration of signals from multiple mobile users in the CDMA systems and multi-path environment was presented. The main idea is that the algorithm employs code-matched filter and model of the inter-symbol interference and multiple-access interference exactly. The correlation matrices of the received signals before and after code-matched filtering were employed to eliminate the effect of the additive white Gaussian noise, and a new mathematical problem was created, a new maximum likelihood method based on the strong law of large number was derived for DOA estimation and array calibration. Computer simulation results prove that the algorithm is effective.

Keywords

DOA / CDMA / multi-path / code-matched filter

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Zhi-yong Shan, Xi-lang Zhou, Qi Zhang. A new method to estimate DOA in CDMA system in multi-path environment. Journal of Central South University, 2006, 13(3): 270-274 DOI:10.1007/s11771-006-0122-5

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References

[1]

PaulrajA J, PapadiasC B. Space-time processing for wireless communications[J]. IEEE Signal Processing Mag, 1997, 14: 49-83

[2]

GodaraL C. Application of antenna arrays to mobile communications. Part I: Performance improvement, feasibility, and system considerations[J]. Proc IEEE, 1997, 85: 1029-1060

[3]

CafferyJ J, StuberG L. Overview of radio location in CDMA cellular systems[J]. IEEE Commun Mag, 1998, 36: 38-45

[4]

van der VeenA J, VanderveenM C, PaulrajA. Joint angle and delay estimation using shift-invariance techniques[J]. IEEE Trans Signal Processing, 1998, 46: 405-418

[5]

CedervallM, MosesR. Efficient maximum likelihood DOA estimation for signals with known waveforms in the presence of multipath[J]. IEEE Trans Signal Processing, 1997, 45: 808-811

[6]

NaguibA F, PaulrajA. A base-station antenna array receiver for cellular DS/CDMA with M-ary orthogonal modulation[C]. Proc 28th Asilomar Conf on Signals, Systems and Computers, 1994, CA, Pacific Grove: 858862

[7]

WEI Yang, ZHEN Hui-tan. Joint DOA estimation and phase calibration for synchronous CDMA with decorrelator[J]. Proc IEEE, 2003: 452–457.

[8]

ShanT J, WaxM, KailathT. On spatial smoothing for estimation of coherent signals[J]. IEEE Trans Acoust, Speech and Signal Processing, 1985, 33: 806-811

[9]

ZhangXian-da, BaoZhenCommunication signal processing[M], 2002, Beijing, National Defence Industry Press in Chinese)

[10]

SchmidtR O. Multiple emitter location and parameter estimation[J]. IEEE Trans Antenna Propag, 1986, 34(3): 276-280

[11]

ChanA Y J, LitvaJ. Music and maximum likelihood techniques on two-dimensional DOA estimation with uniform circular array[J]. IEE Proc, Radar Sonar Navig, 1995, 142(3): 105-114

[12]

ZhongDing-lei, TengJ L. Estimation of direction of arrival of multipath sygnals in CDMA systems[J]. IEEE Transaction on Communications, 2000, 46(8): 1022-1024

[13]

LeeJ H, LeeC M, LeeK K. Nonlinear triangulation ranging of near-field sources[J]. Electronic Lett, 1998, 34(23): 2207-2208

[14]

HuangY D, BarkatM. Near-field multiple source location by passive sensor array[J]. IEEE Trans on Signal Processing, 1991, 39(7): 968-975

[15]

GolubG H, van LoanC FMatrix computation[M], 1996, Baltimore, John Hophins University Press

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