Spectral correlation MUSIC algorithm for cyclostationary signals by exploitation of new array configuration

This paper presents a new cyclic direction-of-arrival (DOA) estimation algorithm. By exploiting a new minimum-redundancy linear-array (MRLA) configuration and cyclostationarity, the proposed algorithm computes a covariance matrix of the MUSIC method with a pseudo-data matrix of 2N-1 virtual sensors, which are the results of temporal and spatial processing with the designed M-sensor Sum-MRLA. Theoretical analysis and computer simulations show that, for each cyclic frequency, the algorithm can estimate 2N-2 DOAs with M-sensor Sum-MRLA (N>M).

[1]  Saleem A. Kassam,et al.  Array redundancy for active line arrays , 1996, IEEE Trans. Image Process..

[2]  Qinye Yin,et al.  Selective direction finding for cyclostationary signals by exploitation of new array configuration , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[3]  William A. Gardner,et al.  Simplification of MUSIC and ESPRIT by exploitation of cyclostationarity , 1988, Proc. IEEE.

[4]  W. Gardner.  Exploitation of spectral redundancy in cyclostationary signals , 1991, IEEE Signal Processing Magazine.

[5]  B. G. Agee,et al.  Cyclic MUSIC algorithms for signal-selective direction estimation , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[6]  William A. Gardner,et al.  Spectral Correlation of Modulated Signals: Part II - Digital Modulation , 1987, IEEE Transactions on Communications.

[7]  Thomas Kailath,et al.  Direction-of-arrival estimation via exploitation of cyclostationary-a combination of temporal and spatial processing , 1992, IEEE Trans. Signal Process..

[8]  Giacinto Gelli,et al.  Minimum-redundancy linear arrays for cyclostationarity-based source location , 1997, IEEE Trans. Signal Process..