Transmission diversity detection method and device in OFDM system

Abstract

The invention discloses a transmission diversity detection method and device in an OFDM system, and relates to the communication technology. The embodiment of the invention provides the transmission diversity detection method and device in the OFDM system. An antenna data is received, the received antenna data is conducted with equalization and a signal to noise ratio weighting processing, and then demodulation is conducted based on soft symbols after equalization and the weighting processing. Because the signal to noise ratio weighting processing is conducted firstly and then demodulation is conducted, a combined calculation of equalization and the signal to noise ratio weighting can be conducted so that the calculation is simplified and complexity of the transmission diversity detection is reduced.

Description

technical field [0001] The present invention relates to communication technology, and in particular, to a method and device for transmission diversity detection in an OFDM system. Background technique [0002] In the product realization of the mobile communication system, the detection module is the key module in the baseband processing of the physical layer, and its calculation amount is also one of the modules with a large calculation amount in the baseband processing. It plays an extremely important role in reducing the cost of the product, optimizing the timing design of the entire system, and reducing the delay on the business side. [0003] At present, there are many types of detection algorithms, which are mainly divided into the following three categories: [0004] Linear detection algorithms, such as ZF (Zero Forcing, zero forcing), MMSE (Minimum Mean Square Error, minimum mean square error) detection algorithms. The complexity of this kind of algorithm is relativ...

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Problems solved by technology

[0028] The inventors of the present invention found that when the above-mentioned method is directly used for detection, the amount of calculation is relatively large, especially in the case of MMSE equalization, the introduction of the weighted value of the signal-to-noise ratio will bring a lot of additional calculations, and the complexity of the calculation is relatively large. Moreover, when the product is realized, a fixed-point implementation scheme is adopted, and truncation operations are required in the intermediate process. Multiple truncations are required for multiple multiplications, which will also cause performance loss. In addition, since the signal-to-noise ratio weighting is aimed at For high-order modulation, it will also increase the amount of calculation

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