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Interference suppression is a main problem to be solved in both radar and wireless communication systems. To minimize the impact of interference, a number of signal processing techniques, such as adaptive beamforming and frequency filtering, have been developed. However, the performance of these conventional methods degrades a lot when the target and interferences have similar parameters. In this...
Recently, the attentions of communication societies are paid to MIMO-OFDM systems. In this paper we propose a new beamforming method to the receive end of MIMO-OFDM systems. To make the method work with fewer known OFDM symbols, oversampling samples are employed and multistage decomposition based on orthogonality of sub-carriers of OFDM signal is used to formulate the beamforming weight vector for...
This paper studies efficient complex valued matrix manipulations for multi-user STBC-MIMO decoding. A novel method called Alamouti blockwise analytical matrix inversion (ABAMI) is proposed for the inversion of large complex matrices that are based on Alamouti sub-blocks. Another method using a variant of Givens rotation is proposed for fast QR decomposition of this kind of matrices. Our solutions...
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