Selective direction finding for cyclostationary signals by exploitation of new array configuration

  • Authors:

  • Minli Yao;Liang Jin;Qinye Yin

  • Affiliations:

  • Inst. of Inf. Eng., Xi'an Jiaotong Univ., China;-;-

  • Venue:
  • ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
  • Year:
  • 1999

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Abstract

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 constructs a matrix pencil from the pseudo-data matrix of 2N-1 virtual sensors, which are the results of temporal and spatial processing with 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 (NM).