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A GCD Method for Blind Channel Identification

✍ Scribed by W. Qiu; Y. Hua

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
144 KB
Volume
7
Category
Article
ISSN
1051-2004

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✦ Synopsis

Using the second-order statistics (SOS) for the estimation of impulse responses of multiple FIR channels driven by an unknown input has become a topic of great interest since Tong-Xu-Kailath proposed a SOS-based matrix pair (MP) method in 1991. The MP method exploits a pair of covariance matrices of the channel output vectors to identify the channel impulse responses. In this paper, we show that one of the two covariance matrices contains all the information about the channel impulse responses, and this information can be retrieved by a simple application of a notion called the greatest common divisor (GCD). The GCD method is shown to be much more robust to noise than the MP method.

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✍ Mazzenga, Franco πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 435 KB

In this letter a blind channel identification algorithm for broadband signals is proposed. Although we take CDM signals into consideration for simplicity, the algorithm can be easily extended to any other wideband commttnication system. The algorithm is based on cyclostationary properties of the CDM