Multiplier-free FRM filter bank optimization design method based on ABC algorithm

Abstract

The invention relates to a multiplier-free FRM filter bank optimization design method based on an ABC algorithm. The method comprises the following steps: obtaining passband cut-off frequency and cut-off initial frequency index parameters of a prototype filter, an upper branch shielding filter and a lower branch shielding filter in an FRM narrow-band filter bank according to actual requirements; calculating to obtain an initial coefficient vector of each filter in the FRM multiphase analysis filter bank by combining a frequency sampling method with the index of each filter; and taking each filter coefficient in the step 2 as an initial nectar source of an artificial bee colony algorithm, and performing comprehensive optimization operation on the coefficients by utilizing the artificial beecolony algorithm to finally obtain a globally optimal filter coefficient design. According to the FRM filter bank structure designed by the invention, the performance of a prototype filter is optimized by adopting an artificial bee colony algorithm, and the number of summators is further reduced. Meanwhile, artificial bee colony algorithm optimization is carried out on the filter coefficient in advance, and effect errors caused by CSD coding of the filter coefficient are reduced.

Description

technical field [0001] The invention relates to the application field of radio and digital signal processing thereof, in particular to the field of an optimal design method of an FRM filter bank without a multiplier based on an ABC algorithm. Background technique [0002] With the development of multi-rate signal processing technology, filter banks have been widely used in the fields of digital communication, image processing and signal processing. With the continuous development and improvement of algorithms, filter bank technology is favored in wideband receivers and image and video processing. The filter bank is not only an important factor in determining the performance of digital channelization processing, but also has an excellent application status in military industry, and occupies an important position in satellite signal processing, audio image filtering, and radar signal processing. Today's digital channelized receivers have higher and higher requirements for the...

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Problems solved by technology

[0003] In terms of optimized filter bank design without a multiplier, the patent "Digital Filtering Without a Multiplier" (application number: 998093866) adopts a method of directly quantizing the filter coefficients, which is different from the structural design of the present invention; the document "Artificial Bee Research on the Application of Swarm Algorithm in FIR Filter Design" (Information Recording Materials, 2019) mainly studies the bee colony optimization method for low-pass filters, but it has not been further transformed into hardware implementation without multipliers, and Not for filter bank design, different from the present invention; document " low-complexity HBCEM FRM polyphase filter bank " (data collection and processing, 2011) mainly utilized the half-band complex exponential modulation technique to integrate FRM filter The efficient design of the filter is realized, but the optimization algorithm and no multiplier design are not adopted, which is different from the method of the present invention; the document "Research and Application of Low Complexity Finite Impulse Response Filter Design Method" (Master's Thesis of Southeast University, 2018) ) is mainly based on the design algorithm of the second-order cone optimized reconfigurable frequency mask filter to optimize the design of the FRM filter, does not involve the design of no multiplier, and is not used in the filter bank structure design, and the present invention Patents are different

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