Universal descent search method for signal detection of large-scale MIMO system

A system signal and search method technology, which is applied in the field of general descent search and massive MIMO system signal detection, can solve problems such as hindering practical applications, convergence problems and calculation difficulties, so as to reduce detection complexity, improve algorithm performance, and reduce The effect of bit error rate

Active Publication Date: 2018-11-02
SOUTHEAST UNIV
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Problems solved by technology

[0010] In conclusion, although these methods try to balance BER performance and computational comp

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  • Universal descent search method for signal detection of large-scale MIMO system
  • Universal descent search method for signal detection of large-scale MIMO system
  • Universal descent search method for signal detection of large-scale MIMO system

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[0084] The technical solution of the present invention will be further introduced below in conjunction with specific embodiments.

[0085] This specific embodiment discloses a general descent search method for signal detection in a massive MIMO system, which includes the following steps:

[0086] S1: Construct a linear inequality quadratic optimization model for detecting the transmitted signal of the massive MIMO system according to the parameter conditions under the non-ideal channel, and construct the detection matrix A;

[0087] S2: Add a mapping operation to the descending search algorithm according to the model constructed in step S1;

[0088] S3: Calculate the lower triangular matrix L according to the SSOR preprocessing algorithm;

[0089] S4: According to the matrix L, a descending search algorithm with mapping operation is used to detect the received signal matrix output by the matched filter at the receiving end to obtain an estimated value of the transmitted signal.

[0090] ...

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Abstract

The invention discloses a universal descent search method for signal detection of a large-scale MIMO system. The method comprises the following steps: S1, constructing a linear inequality quadratic optimization model for detecting transmitting signals of the large-scale MIMO system according to parameter situations under a non-ideal channel, and constructing a detection matrix A; S2, adding a mapping operation to a descent search algorithm according to the model constructed in the step S1; S3, calculating a lower triangular matrix L according to a SSOR preprocessing algorithm; S4, according tothe matrix L, detecting a receiving signal matrix output by a receiving end matched filter through the descent search algorithm containing the mapping operation, and obtaining a transmitting signal estimated value. Compared with the existing iterative detection method, the method provided by the invention is suitable for a more variable channel model and a constantly expanding system scale, stillcan keep low error rate under low signal-to-noise ratio in bad conditions, and can satisfy requirements on detection technologies of the next generation mobile communication better.

Description

technical field [0001] The invention relates to wireless communication technology, in particular to a general descending search method for massive MIMO system signal detection. Background technique [0002] With the development of the information industry, wireless data, the number of devices and the data rate will continue to explode in the future. Based on these facts, the International Telecommunication Union (ITU) IMT-2020 (5G) Promotion Group determined some indicators of the next generation of mobile communications, including energy efficiency of 100 times, spectral efficiency of five times, 10 times per square kilometer 6 The connection density and user experience data rate is about 1Gbps, etc. [0003] In order to meet these performance and efficiency requirements, the prior art proposes five key technologies for future mobile communications. Among them, massive multiple-input multiple-output (MIMO) systems have attracted extensive attention of researchers and engi...

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Application Information

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IPC IPC(8): H04B7/0413H04B17/391
CPCH04B7/0413H04B17/3912
Inventor 张川金洁珺薛烨尤肖虎
Owner SOUTHEAST UNIV
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