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In this paper, a method for the joint decoding of a MIMO system using apriori information in conjunction with the Zero-Forcing decoder is presented. The proposed method is compared with an existing method based on receive vector translation. It is shown that both methods perform similarly in the case of the Zero-Forcing decoder. Furthermore, the proposed method can be used with an arbitrary signal...
In this paper, the effects of quantization on the achievable diversity of a linearly precoded Space-Time-Frequency (STF) and Space-Frequency (SF) coded MIMO-OFDM system are studied. A relationship between the maximum achievable diversity in a linearly precoded system and the number of quantization bits is derived. The performance of two different STF codes for various levels of quantization is simulated...
In this paper, a reduced complexity soft-input soft-output MIMO detector is presented. The detector combines a Sphere Decoder, a Hopfield neural network and an error correction code in an iterative structure (turbo). The simulation results demonstrate that with less computational complexity, the proposed system's performance equals that of a sphere decoder based max-log-map detector in ideal channel...
In this paper, a reduced complexity soft-input soft-output MIMO detector is presented. The detector is intended to be used in conjunction with an error correction code. The detector combines a Sphere Decoder with a Hopfield network to calculate a max-log-map approximation. It is then combined with the error correction code in an iterative structure (turbo). The code used is a quasi-cyclic non-binary...
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