FBLMS (Frequency-domain Block Least mean square) adaptive filtering method

An adaptive filtering, frequency domain technology, applied in the direction of adaptive network, impedance network, electrical components, etc., can solve the problems of low computational complexity, inability to equalize non-minimum phase systems, etc., to achieve the effect of low computational complexity

Active Publication Date: 2017-07-07
10TH RES INST OF CETC
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Problems solved by technology

[0005] The purpose of the present invention is to address the shortcomings of the above-mentioned prior art, by improving the existing FBLMS algorithm, to provide a method that can ensure the same convergence as the time-domain LMS algorithm, and has lower computational complexity, which can achieve a balanced A frequency-domain block least mean square adaptive filtering method for the capability of non-minimum phase systems to solve the problem that traditional FBLMS algorithms cannot equalize non-minimum phase systems

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  • FBLMS (Frequency-domain Block Least mean square) adaptive filtering method

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[0015] refer to figure 1 . According to the present invention, firstly, the input data sequence to be filtered is serially converted into parallel data blocks with a length of L, and M / 2 data cascaded respectively from adjacent front and back parallel data blocks form a stage with a length of N=L+M Connect the input data blocks, and perform fast Fourier FFT operation on the cascaded input data blocks to obtain N frequency domain input data, and then multiply the N frequency domain input data and N filter weight coefficients one by one, Then do N points on the frequency domain data filtered by N filters and perform inverse Fourier transform IFFT to obtain N filtered frequency domain data, discard M / 2 data at both ends of the time domain data, and retain and store N filtered data The data centered in the time domain data; for the reserved centered data, the ratio R of the tap rate of the equalizer to the signal rate is used to extract at equal intervals, and output the first nu...

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Abstract

The invention provides an FBLMS adaptive filtering method, and aims providing the adaptive filtering method capable of balancing a non-minimum phase system, having the same convergence with a time-domain LMS algorithm, and being lower in computing complexity. The method is realized by that a data sequence string to be filtered is converted into parallel data blocks in the length of L, each of adjacent parallel data blocks is cascaded with M/2 data respectively, a cascaded data block in the length of N=L+M is formed, FFT operation is carried out, input data of N frequency domains is obtained, the input data of N frequency domains is multiplied by weight coefficients of N filters to obtain filtered frequency-domain data of the N filters, and IFFT of N points is carried out to obtain N filtered time-domain data; conjugate multiplication is carried out on N frequency-domain error signals and the input data of N frequency domains, IFFT is carried out to obtain a time-frequency gradient vector in the length of N; and a weight coefficient of an adaptive filter is updated, and a processed frequency-domain gradient vector is obtained.

Description

technical field [0001] The invention relates to a frequency domain block least mean square (FBLMS) adaptive filtering algorithm in the field of adaptive signal processing. Background technique [0002] Adaptive signal processing is an important branch in the field of signal processing. After decades of development, adaptive filtering theory, which is the basis of adaptive signal processing, has been widely used in communication systems, control systems and other systems. In a communication system, the received signal will be interfered by various noises, which will affect the transmission quality of the signal. Therefore, it is necessary to design an interference elimination filter to filter the signal. In practical applications, since the characteristics of the interference signal are not easy to know, most of the interference is also time-varying or even non-stationary. Therefore, the conventional filter cannot achieve the purpose of filtering out the interference, while ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03H21/00
CPCH03H21/0027H03H21/0043H03H2021/0058
Inventor 胡新士潘云强
Owner 10TH RES INST OF CETC
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