MIMO-based signal detection method and detection platform

Abstract

The invention discloses a MIMO-based signal detection method. The method comprises: a detection platform receiving a signal r and a channel estimation matrix H through multiple antennas; and the detection platform, according to the received signal r and the channel estimation matrix H, performing parallel processing by use of a single instruction multiple data (SIMD) instruction set, and obtaining a UE sending sequence. According to the invention, the parallel processing of MIMO detection is realized by use of a SIMD instruction, therefore, high-complexity operation including matrix inversion, vector multiplying and the like can be avoided, and detection time delay is reduced. Besides, since the method and platform are realized based on a general-purpose processor (GPP), the versatility is quite good, and manpower resources can be saved.

Description

technical field [0001] The present invention relates to the field of signal detection, in particular to a signal detection method and a detection platform based on Multi-Input-Multi-Output (MIMO). Background technique [0002] When the signal sent by the radio is reflected, multiple signals are produced, each signal is a spatial stream. Using single input single output (SISO) can only send or receive one spatial stream at a time; MIMO allows multiple antennas to transmit and receive multiple spatial streams at the same time, that is, allows simultaneous transmission and reception of antennas; obviously, MIMO Capable of increasing wireless range and improving performance. [0003] As an important MIMO detection method, vertically structured layered space-time code (V-BLAST) generally includes three decoding methods: zero-forcing algorithm, QR decomposition algorithm and MMSE algorithm, all of which involve matrix calculation. Inverse, vector multiplication, etc.; generally ...

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Problems solved by technology

[0003] As an important MIMO detection method, vertically structured layered space-time code (V-BLAST) generally includes three decoding methods: zero-forcing algorithm, QR decomposition algorithm and MMSE algorithm, all of which involve matrix calculation. Inverse, vector multiplication, etc.; generally speaking, when the serial calculation method is used, with the increase of the number of receiving and transmitting antennas, the complexity of matrix inversion increases as the cubic power, and the complexity of vector multiplication also increases sharply, so It will cause the delay of signal detection at the receiving end to increase greatly

[0004] In addition, the existing technology is mainly based on a digital signal processing (Digital Signal Processing, DSP) processing platform, or a field programmable gate array (Field Programmable Gate Array, FPGA) processing platform for signal detection, and the versatility between different processing platforms is poor, so The workload of developers is heavy, and the development time of the whole system is long

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