Adaptive MIMO detection algorithm by jointly exploiting the properties of signal and channel
ICASSP（2011）
摘要
The purpose of this paper is to develop an algorithm achieving the performance of fixed-complexity decoder (FSD) with much lower complexity than FSD. An adaptive expansion strategy (AES) is proposed for MMSE Ordered Successive Interference Canceling (MMSE-OSIC). The expansion degree varies according to the channel condition, especially, partial expansion (PE) is proposed in this paper as a transition between Single expansion (SE) and full expansion (FE). Widely linear processing, which is usually confined to non circular signals, is extended to circular signals in PE. Simulation shows that the proposed AES can significantly reduce the complexity with little performance loss, compared with FSD.
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关键词
adaptive signal detection,adaptive mimo detection algorithm,non circular,single expansion,ordered successive interference canceling,full expansion,adaptive decoding,adaptive expansion strategy,circular signals,partial expansion,fsd,communication complexity,linear processing,noncircular signal processing,array signal processing,least mean squares methods,wireless channels,fixed-complexity decoder,channel condition,mimo communication,interference suppression,widely linear,channel properties,signal properties,signal detection,mimo systems,mmse-osic,phase shift keying,interference,mimo,iron,bit error rate
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