A new DOA estimation technique based on subarray beamforming

A new direction-of-arrival (DOA) estimation technique using subarray beamforming is proposed. Two virtual subarrays are used to form a signal whose phase relative to the reference signal is a function of the DOA. The DOA is then estimated based on the computation of the phase shift between the reference signal and its phase-shifted version. Since the phase-shifted reference signal is obtained after interference rejection through beamforming, the effect of cochannel interference on the estimation is significantly reduced. The proposed technique is computationally simple, and the number of signal sources detectable is not bounded by the number of antenna elements used. Performance analysis and extensive simulations show that the proposed technique offers significantly improved estimation resolution, capacity, and accuracy relative to existing techniques

[1]  Jinho Choi Pilot channel-aided techniques to compute the beamforming vector for CDMA systems with antenna array , 2000, IEEE Trans. Veh. Technol..

[2]  Jian Li,et al.  Computationally efficient angle estimation for signals with known waveforms , 1995, IEEE Trans. Signal Process..

[3]  Fumiyuki Adachi,et al.  Pilot Symbol-Assisted Decision-Directed Coherent Adaptive Array Diversity for DS-CDMA Mobile Radio Reverse Link , 1997 .

[4]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[5]  L. Godara Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations , 1997, Proc. IEEE.

[6]  Arthur Jay Barabell,et al.  Improving the resolution performance of eigenstructure-based direction-finding algorithms , 1983, ICASSP.

[7]  A. Klouche-Djedid,et al.  Adaptive array sensor processing applications for mobile telephone communications , 1996 .

[8]  Yih-Fang Huang,et al.  An analysis of ESPRIT under random sensor uncertainties , 1992, IEEE Trans. Signal Process..

[9]  Louis L. Scharf,et al.  A new subspace identification algorithm for high-resolution DOA estimation , 2002 .

[10]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[11]  T. Kailath,et al.  Direction-of-arrival estimation by subspace rotation methods - ESPRIT , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[12]  Sang-Hoon Lim,et al.  Performance evaluation of adaptive beamforming using pilot and traffic channel in cdma2000 reverse link , 2002, Proceedings IEEE 56th Vehicular Technology Conference.

[13]  Thomas Kailath,et al.  Beamspace ESPRIT , 1994, IEEE Trans. Signal Process..

[14]  Ching-Tai Chiang,et al.  DOA estimation in the asynchronous DS-CDMA system , 2003 .

[15]  J. R. Cruz,et al.  Adaptive antenna arrays for cellular CDMA communication systems , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[16]  A. Lee Swindlehurst,et al.  Time delay and spatial signature estimation using known asynchronous signals , 1998, IEEE Trans. Signal Process..

[17]  A. Lee Swindlehurst,et al.  Analysis of a decision directed beamformer , 1995, IEEE Trans. Signal Process..

[18]  G. Golub,et al.  Tracking a few extreme singular values and vectors in signal processing , 1990, Proc. IEEE.

[19]  Theodore S. Rappaport,et al.  Smart Antennas for Wireless Communications: Is-95 and Third Generation Cdma Applications , 1999 .

[20]  Gene H. Golub,et al.  Matrix computations , 1983 .

[21]  Oscar Kempthorne,et al.  Probability, Statistics, and data analysis , 1973 .

[22]  Jian Li,et al.  Maximum likelihood angle estimation for signals with known waveforms , 1993, IEEE Trans. Signal Process..

[23]  N. Tayem,et al.  Conjugate ESPRIT (C-SPRIT) , 2004, IEEE Transactions on Antennas and Propagation.

[24]  Ramjee Prasad,et al.  Wideband CDMA for third generation mobile communications , 1998 .

[25]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .