Orthogonal frequency division multiplexing (OFDM) channel estimation method based on filter bank

Abstract

The invention discloses an orthogonal frequency division multiplexing (OFDM) channel estimation method based on a filter bank, which comprises the following steps: generating the complex exponential pilot data having the same center frequency with the OFDM sampling sub-carrier, multiplexing with the information source data, filtering the pilot data corresponding to the pilot on the receiving terminal by a multiphase filter bank which is realized by the N point FFT, then performing the least squares estimation to the output data of each corresponding channel to obtain the initial channel frequency domain estimation data, and obtaining the initial channel frequency domain data of all the sub-carriers through the processing of linear interpolation, then performing the IFFT process, performing the zero fill and the FFT process to the L point major tap coefficients in the time domain, and finally obtaining the channel parameters corresponding to all the positions of the sub-carriers through the interpolation in the frequency domain. The method of the invention solves the defects of poor channel estimation under the condition of low signal to noise ratio in the existing schemes, and have the advantages of stable performance, low cost, low error code floor and the like.

Description

technical field [0001] The present invention relates to a communication signal processing method in wireless communication, and in particular provides a filter bank-based OFDM (Orthogonal Frequency Division Multiplexing, Orthogonal Frequency Division Multiplexing) channel estimation method. Background technique [0002] Today, the third generation of digital mobile communications (3G, The 3rd Generation) is developing rapidly. TD-SCDMA proposed by China is also one of the global 3G standards. 3G mobile terminals will be widely used soon, and the business service market of 3G mobile terminals will also flourish. With the continuous evolution of the third generation, the next three generations and future mobile communication systems, wireless communication systems will provide higher and higher data rates and more reliable communication quality assurance. At the same time, the environment where the user terminal is located will become more and more complex with the advancement...

AI Technical Summary

Problems solved by technology

However, to use effective coherent demodulation technology to obtain higher SNR gain, it is necessary to estimate and track channel parameters at the receiving end, especially to achieve high-precision channel parameters under time-varying and low SNR conditions. Estimation, low signal-to-noise ratio conditions determine that the accuracy of channel parameter estimation is difficult to meet the actual use requirements. At the same time, complex estimation algorithms need to use the statistical characteristics of the channel, but the actual environment determines that accurate channel statistical characteristics cannot be obtained in use.

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