Layered space-time codes have been designed to exploit the capacity advantage of multiple antenna systems in Rayleigh fading environments. In this paper, a new efficient decoding algorithm based on QR decomposition is presented. It needs only a fraction of computational effort compared to the standard decoding algorithm requiring the multiple calculation of the pseudo inverse of the channel matrix.Introduction: In a Rayleigh fading environment multiple antenna systems provide an enormous increase in capacity compared to single antenna systems. To take advantage of multiple antennas space-time codes (STC) have been introduced to use space as a second dimension of coding. Layered space-time (LST) codes are a special kind of STC with the advantage of a feasible decoding complexity [1]. For these LST we introduce a new, efficient way of decoding based on the QR-decomposition.
Abstract-In rich-scattering environments layered space-time architectures like the BLAST system may exploit the capacity advantage of multiple antenna systems. In this paper, we present a novel, computationally efficient algorithm for detecting V-BLAST architectures with respect to the MMSE criterion. It utilizes a sorted QR decomposition of the channel matrix and leads to a simple successive detection structure. The new algorithm needs only a fraction of computational effort compared to the standard V-BLAST algorithm and achieves the same error performance.
Abstract-Theoretical and experimental studies have shown that layered space-time architectures like the BLAST system can exploit the capacity advantage of multiple antenna systems in rich-scattering environments. In this paper, we present a new efficient algorithm for detecting such architectures with respect to the MMSE criterion. This algorithm utilizes a sorted QR decomposition of the channel matrix and leads to a simple successive detection structure. The algorithm needs only a fraction of computational effort compared to the standard V-BLAST algorithm and achieves the same bit error performance.
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