SISO balancing method based on sampling rate data and balancer

Abstract

The invention discloses an SISO balancing method based on sampling rate data. The SISO balancing method comprises the following steps that (1) intermediate frequency simulation data are sampled, low-pass filtering and matched filtering are conducted on the sampled data, and the sampling rate data to be processed in a balancing mode are obtained and input into a balancer; (2) the balancer conducts balancer filtering tap coefficient calculation according to the sampling rate data; (3) linear transverse filtering is conducted according to the balancer filtering tap coefficients, an inverse channel of a multi-path fading channel is built, and channel balancing is achieved; (4) the balancer outputs a balancing result to a carrier synchronization loop to complete carrier tracking. According to the SISO balancing method based on the sampling rate data, the balancer is independent from a receiver digital baseband processing so as to be closer to be digital receiving processing front end, balance processing is not influenced by synchronization performance, and the contradiction that channel balancing, timing synchronization and carrier recovering are mutually restricted is solved.

Description

technical field [0001] The invention belongs to the wireless digital receiving technology of avionics information, is a method for realizing SISO self-adaptive equalization of sampling rate data of aeronautical wireless fading channels, and is applied in the field of aeronautical wireless communication data chains. technical background [0002] The digital signal reaches the receiving end through the transmission of the channel, but in fact the channel is a function with complex characteristics and is also time-varying. Therefore, the received signal has been severely distorted, resulting in intersymbol interference. The adaptive equalizer can compensate the distortion generated by the channel, and automatically adjust the tap coefficient of the equalizer according to the change of the received signal to track the time-varying characteristics of the channel. . [0003] In the UAV wireless communication data link baseband digital receiving system, the adaptive equalization p...

AI Technical Summary

Problems solved by technology

At present, domestic research and application in the field of adaptive equalization technology for aviation wireless communication data links are far from mature

However, the research and application in related fields abroad are currently mainly focused on the related algorithms of code rate and fractional time domain or frequency domain. Although they can achieve better convergence characteristics and smaller residual variance, the computational complexity is relatively high. During the implementation of the algorithm, the quality of timing synchronization and carrier recovery is very high

The mutual restriction of synchronization performance and equalizer performance will undoubtedly reduce the reliability of the actual application of the algorithm

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