Fast communication: wideband cyclic MUSIC algorithms
Signal Processing
On improvements of cyclic MUSIC
EURASIP Journal on Applied Signal Processing
An extended cyclic MUSIC algorithm
IEEE Transactions on Signal Processing
On proportionate-type NLMS algorithms for fast decay of output error at all times
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Fast exact variable order affine projection algorithm
Signal Processing
An affine projection algorithm with variable step size and projection order
Digital Signal Processing
Hi-index | 0.00 |
The method of Spectral Correlation-Signal Subspace Fitting (SC-SSF) fails to separate wideband cyclostationary signals with coherent second-order cyclic statistics (SOCS). Averaged Cyclic MUSIC (ACM) method made up for the drawback to some degree via temporally averaging the cyclic cross-correlation of the array output. This paper interprets ACM from another perspective and proposes a new DOA estimation method by generalizing ACM for wideband cyclostationary signals. The proposed method successfully makes up for the aforementioned drawback of SC-SSF and obtains a more satisfying performance than ACM. It is also demonstrated that ACM is a simplified form of the proposed method when only a single spectral frequency is exploited, and the integration of the frequencies within the signal bandwidth helps the new method to outperform ACM.