This paper presents a new cyclic direction-of-arrival (DOA) estimation algorithm. By exploiting a new minimum-redundancylinear-array (MRLA) configuration and cyclostationarity, the proposed algorithm computes a covar...
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ISBN:
(纸本)0780388348
This paper presents a new cyclic direction-of-arrival (DOA) estimation algorithm. By exploiting a new minimum-redundancylinear-array (MRLA) configuration and cyclostationarity, the proposed algorithm computes a covariance matrix of MUSIC method with the pseudo-data matrix of 2N-1 virtual sensors, which are the results of temporal and spatial processing with designed M-sensor SumMRLA. 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).
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