Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
A.K. Shaw , Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Wei Xia , Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
This work considers the use of the DFT of the autocorrelation (AC) matrix (DFT-of-AC) for extracting the signal and noise subspaces. It is shown that when DFT preprocessed data is incorporated within the frameworks of minimum-norm (MNM) or Prony's methods, improved high-resolution estimates are obtained. Furthermore, if the signal-subspace part of the DFT-of-AC vectors are used in place of eigenvectors in MNM, the high-resolution performance is further enhanced. Theoretical perturbation analysis of the DFT-based MNM (D-MNM) shows that the estimates are unbiased and, furthermore the theoretical mean-squared error results indicate improved high-resolution performance, especially at low SNR.<
discrete Fourier transforms, frequency estimation, matrix algebra, perturbation techniques, direction-of-arrival estimation
A. Shaw and Wei Xia, "DFT preprocessing for high-resolution frequency estimation," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 826-830.