The need for fast adaptive algorithms for signal separation in dense environments is essential aspect in modern communications systems. For example, enhancement of mobile systems performance to allow different traffics, high quality and minimum delay is achievable in condition that the channel impairments and cohannel interference is reduced. In this paper, the performance of two types of signal separation and interference cancellation algorithms is compared. The paper presents quantitative measures of the two methods and suggests further enhancement of their performance.
Key words: Constant modulus algorithms (CMA), iterative least square enumerator (ILSE), signal canceller and multiple signal classification (MUSIC).
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