Low-complexity sphere decoding detection method

Abstract

The invention discloses a low-complexity sphere decoding detection method used for an LTE-A (long term evolution-advanced) system. The method includes: subjecting ergodic vector combinations to periodic grouping, and determining position of a minimum error composition in a first period vector composition; and obtaining minimum error vectors in rest vector groups according to periodicity, selecting a vector with a minimum error from all groups as a result for simplifying a maximum likelihood, wherein the minimum error vector in the first period vector is calculated by adopting the dimension reducing sphere decoding method, so that ergodicity of all combinations in a period is avoided. The low-complexity sphere decoding detection method is greatly lowered in complexity without influences on system performances.

Description

technical field [0001] The present invention relates to the technical field of mobile communication, and more specifically, to a receiver signal detection technology in the subsequent evolution of LTE technology (LTE-A). Background technique [0002] The 3GPP (3rd Generation Partnership Project) organization released the first version a00 of the LTE-A standard R10 in December 2010. It meets the requirements of ITU-R's IMT-Advanced technology solicitation, and is fully compatible with LTE. The main key technologies are multi-band coordination and carrier aggregation, and supports multi-antenna technology in uplink, and supports up to 8×8 multi-antenna configuration specifications in downlink. With a spectrum bandwidth of 100 MHz, it can provide peak rates of uplink 500 Mbps and downlink 1 Gbps. Uplink and downlink peak spectrum utilization reaches 15 bps / Hz and 30 bps / Hz respectively. These parameters far exceed the minimum requirements of 4G. Multiple-input multiple-outpu...

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Problems solved by technology

The detection method at the receiving end plays a crucial role in this advantage. Compared with the traditional single-input-output (SISO) system, the reception of the MIMO system detects MIMO signals when they overlap each other in time and frequency, so MIMO Signal detection complexity is much higher than traditional SISO signal detection

[0003] In the commonly used detection methods, there is a contradiction between improving performance and reducing complexity, that is, the lower the complexity, the worse the performance, and the better the performance, the higher the complexity, especially when the number of transmitting antennas increases and the performance of detection Method complexity is very high

For example: zero-forcing (ZF) and minimum mean square error (MMSE) detection methods are two common linear detection methods with low complexity but poor performance; the optimal detection method is the maximum likelihood detection method, but its The complexity increases exponentially with the number of transmitting antennas, and its complexity is extremely high, making it difficult to implement

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