Signal detection method and apparatus

Abstract

The embodiment of the invention discloses a method for detecting signal, which includes the following steps: receiving transmitted signals, forming received signals, acquiring zero padding vectors corresponding to the transmitted signals according to the system matrix, detecting the transmitted signals in turn according to the zero padding vectors corresponding to the transmitted signals, eliminating the disturbance of the detected transmitted signals in the received signals after every transmitted signal is detected, and renovating the zero padding vectors of the undetected transmitted signals according to zero padding vectors corresponding to the detected transmitted signals for the detection of the next transmitted signal. In the embodiment of the invention, zero padding vectors corresponding to the detected transmitted signals are used for renovating the zero padding vectors of the undetected transmitted signals, so that fussy repeated pseudo-inverse process is avoided. Complexity of signal detection is greatly reduced while the original algorithm general structure needs not to be changed. The embodiment of the invention also discloses a signal detection device, which includes a receiving module, a zero padding vector module and a signal detection module.

Description

technical field [0001] The invention relates to the receiving technology of a multiple-input multiple-output (MIMO) antenna system, in particular to a signal detection method and equipment. Background technique [0002] Research on information theory shows that multipath scattering channels have huge capacity. In an environment with rich multipath components, MIMO systems can make full use of multipath components. Based on this, scientists proposed a Diagonally Bell LabsLayered Space-Time Wireless Communication structure (Diagonally Bell LabsLayered Space-Time Wireless Communication) used in MIMO systems Architecture, D-BLAST), a multi-antenna structure is used in both the transmitter and receiver, and the transmitted information is space-time coded according to the diagonal. In the independent Rayleigh fading environment, this structure obtains a huge capacity, which increases linearly with the number of transmitting antennas, and can reach 90% of Shannon channel capacity....

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Problems solved by technology

[0013] However, the weakness of this algorithm is that it is necessary to calculate a pseudo-inverse when calculating the zero-setting vector in each signal detection, and the complexity of calculating a pseudo-inverse is O(N 3 ), so the complexity of the whole algorithm is O(N 4 ), where N represents the number of transmitting antennas

In the case of a large number of transmitting antennas, the complexity of the algorithm is very high, which affects the signal detection speed

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