Maximum Likelihood Based Channel Delay Estimation with Limited Number of Samples Using Diagonal Matrix Approximation

Authors:
X. Tang;Y. Bar-Ness
Affiliations:
Center for Communications and Signal Processing Research, New Jersey Institute of Technology, 323 Martin Luther King Blvd., Newark, NJ 07102-1982, U.S.A. E-mail: tangx@mail.ecu.edu, barnes ...;Center for Communications and Signal Processing Research, New Jersey Institute of Technology, 323 Martin Luther King Blvd., Newark, NJ 07102-1982, U.S.A. E-mail: barness@njit.edu
Venue:
Wireless Personal Communications: An International Journal
Year:
2003

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Abstract

To achieve fast and computationally simplified channel estimation, we proposea maximum likelihood estimation (MLE) based ``diagonal matrix approximation''(DMA) scheme which provides an effective solution to overcome the conflictbetween estimation accuracy, acquisition time, and complexity. Together withover sampling, the proposed scheme exhibits a performance approaching theCramér-Rao Lower Bound (CRLB), while keeping computational complexitylinear to the signal dimensions. The DMA scheme can still perform well evenwhen the sample estimate of the covariance matrix, due to insufficient numberof observation samples, is singular. Therefore, the proposed scheme is aviable solution for fast channel estimation.