METHOD FOR MULTIPLE-INPUT-MULTIPLE-OUTPUT SYSTEM DEMODULATION
First Claim
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1. A low complexity Minimum Mean Square Error (MMSE) based sequential Monte Carlo method for Multiple-Input Multiple Output demodulation, said method comprising the computer implemented steps of:
- receiving a plurality of signals at an array of input antennas;
estimating a channel matrix and signal to noise ratio (SNR);
determining a channel dependent order of demodulation processing the received signals through the use of the MMSE techniques; and
detecting and decoding any transmitted symbols using deterministic sequential Monte Carlo techniques employing update separation.
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Abstract
A MMSE-based deterministic sequential Monte Carlo (SMC) method for MIMO demodulation exhibiting square root complexity in terms of constellation size. Further extensions to the method reduce the search space resulting in significant reduction in computational requirements while minimally impacting performance. As a hard decision algorithm, the methods achieve sphere decoder performance while imposing a much smaller computational load.
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Citations
7 Claims
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1. A low complexity Minimum Mean Square Error (MMSE) based sequential Monte Carlo method for Multiple-Input Multiple Output demodulation, said method comprising the computer implemented steps of:
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receiving a plurality of signals at an array of input antennas; estimating a channel matrix and signal to noise ratio (SNR); determining a channel dependent order of demodulation processing the received signals through the use of the MMSE techniques; and detecting and decoding any transmitted symbols using deterministic sequential Monte Carlo techniques employing update separation. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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Specification