Terminal and Signal Detection Method

Abstract

The invention provides a terminal and a signal detection method. The terminal comprises a receiving unit used for receiving modulating signals, a constellation map decomposition unit used for performing domain decomposition to constellation maps of the modulating signals to obtain multiple decomposed domains, a first detection unit used for detecting received modulating signals by adopting a first signal detection method and outputting first detection signals, a domain determination unit used for determining the decomposed domains to which the first detection signals belong, and a second detection unit used for detecting the modulating signals by adopting a second signal detection method and based on candidate constellation point sets of the decomposed domains and outputting second detection signals. By the technical scheme, signal detection accuracy is guaranteed while complexity of signal detection can be lowered and signal detection efficiency can be improved.

Description

technical field [0001] The present invention relates to the technical field of mobile communication, in particular, to a terminal and a signal detection method. Background technique [0002] In 3GPP (the3 rd generation partnership project) Rel-12, it is determined that the use of high-order modulation methods in small cells (low-power wireless access points), such as 256QAM, can greatly improve system capacity, and can be used in the original three modulation methods (QAM (QuadratureAmplitude Modulation ), 16QAM, 64QAM), increase the degree of freedom of link adaptation, and can flexibly use rank adaptive technology in MIMO (Multiple-Input Multiple-Out-put) technology. [0003] At present, the most commonly used detection techniques at the receiving end are MMSE (Minimum Mean Square Error, minimum mean square error) and ML (Maximum Likelihood Maximum Likelihood Detection) detection. MMSE detection operation complexity is low, but the accuracy is low, especially for high-o...

AI Technical Summary

Problems solved by technology

MMSE detection operation complexity is low, but the accuracy is low, especially for high-order modulation signals, in the case of dense constellation mapping signals, the accuracy decreases; ML bit-level detection has high accuracy, but for high-order modulation , the computational complexity is extremely high, and the time to traverse the bit signal is too long

Among the current simplified ML detection methods, there are ML detection based on classification, that is, the high-order modulation is decomposed into multiple low-order modulations, but this method has low detection accuracy for signals near the coordinate axes of the constellation diagram.

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