Near-optimal multi-input multi-ouput channel detection via sequential monte carlo

A channel and signal receiving technology, applied in the direction of preventing/detecting errors through diversity reception, error correction/detection by combining multiple code structures, multiplexing communication, etc., can solve high-complexity problems and achieve low-complexity degree of effect

Inactive Publication Date: 2004-10-20
NEC CORP
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Problems solved by technology

However, its complexity is significantly higher compared to the original sphere decoding algorithm

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  • Near-optimal multi-input multi-ouput channel detection via sequential monte carlo
  • Near-optimal multi-input multi-ouput channel detection via sequential monte carlo
  • Near-optimal multi-input multi-ouput channel detection via sequential monte carlo

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Embodiment Construction

[0022] The description is organized as follows. Section 2 describes the system under study. Background material on the SMC methodology is provided in Section 3. In Section 4, we exploit stochastic SMC and deterministic SMC to derive a new class of soft MIMO demodulation algorithms based on a simple nulling and offsetting BLAST detection scheme. Computer simulation results are presented in Section 5 and conclusions are drawn in Section 6.

[0023] 2. System description

[0024] In this section, we consider a general coded MIMO system using a turbo receiver. The structures of the transmitter and receiver are respectively in figure 1 with figure 2 shown in . exist figure 2 where ∏ represents the interleaver, ∏ -1 Indicates the deinterleaver.

[0025] 2.1 Transmitter structure

[0026] At the transmitter 100, the information bit block {a i} is encoded into code bits {b in the channel encoder 110 i}. The code bits are then randomly interleaved at the interleaver 120,...

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Abstract

A class of soft-input soft-output demodulation schemes for multiple-input multiple-output (MIMO) channels, based on to sequential Monte Carlo (SMC) framework under both stochastic and deterministic settings. The stochastic SMC sampler generates MIMO symbol samples based on importance sampling and resampling techniques, while the deterministic SMC approach recursively performs exploration and selection steps in a greedy manner. By exploiting the artificial sequential structure of the existing simple Bell Labs Layered Space Time (BLAST) detection method based on nulling and cancellation, the proposed algorithms achieve an error probability performance that is orders of magnitude better than the traditional BLAST detection schemes while maintaining a low computational complexity. Performance is comparable with that of the sphere decoding algorithm, with a much lower complexity. Both the stochastic and deterministic SMC detectors can be employed as the first-stage demodulator in an iterative or turbo receiver in coded MIMO systems.

Description

technical field [0001] The present invention relates generally to digital data receivers. Background technique [0002] The ever-increasing demand for high-speed wireless data transmission poses a great challenge to wireless system designers who need to achieve high-throughput wireless communications over limited-bandwidth radio channels. The main solution in future broadband wireless communication systems is likely to use multiple transmit and receive antennas, because in a multi-scattering environment, the channel capacity of this multiple-input multiple-output (MIMO) can be reduced by the number of transmit and receive antennas Between linearly increase with the minimum value without increasing the bandwidth or transmit power [1, 2, 3]. See appendix for reference. Due to the impact of extremely high spectral efficiency, MIMO technology has been combined with several standards for various wireless applications, such as IEEE802.11, Wireless LAN, IEEE802.16 Wireless MAN, a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04J99/00H04B7/02H04B7/04H04B7/12H04L1/00H04L1/06
CPCH04L1/0055H04L1/005H04L1/0618H04L25/03171H04B7/04A47J37/067A47J36/00G01K1/02
Inventor X·王
Owner NEC CORP
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