BLIND IDENTIFICATION OF MULTI-CHANNEL FIR SYSTEMS BASED ON SECOND ORDER STATISTICS

摘要

This paper develops a new blind channel identification method that exploits the cyclostationarity of oversampled communication signals. The method can identify possibly non-minimum phase FIR systems based only on second order statistics of channel's output. Unlike many existing methods, this method doesn't need EVD or SVD of correlation matrix. Several polynomials are constructed and zeros of systems are identified through seeking for common zeros of those polynomials. It is in the similar spirit of Tong's frequency approach, but this new algorithm is much simpler and computationally more efficient. A sufficient and necessary condition for identification is also provided in this paper, which is the same as the result of Long's time domain theory but the proposed is derived from a novel point of view.