FPGA-based high-speed Delay-FxLMS filter design method

Abstract

The invention requests to protect a high-speed Delay-FxLMS filter design method based on an FPGA (Field Programmable Gate Array). The method mainly comprises three parts: (1) design of a DF-DFxLMS filter, (2) design of a TF-RDFxLMS filter, and (3) design of an HS-TF-RDFxLMS filter. The method is characterized in that a delay decomposition algorithm is adopted to solve the problem that the convergence of a filter is reduced due to delay increase and output lag, and then the adaptive filtering module and the secondary path module are subjected to transposition operation to further reduce a key path so as to improve the clock speed of the system. The number of registers of the whole circuit is reduced by optimizing the circuit sub-modules; and finally, on the premise that the critical path is not changed, the area / speed balance of the TF-RDFxLMS filter is realized by adopting a hardware sharing thought. Experimental results show that the convergence rate of the algorithm is 3.5 times that of a DFxLMS algorithm, a key path is shortened, the clock speed of an HS-TF-RDFxLMS filter is reduced by 4% compared with that of a TF-RDFxLMS filter, and LUT and FF resources are saved by 10% and 28% respectively.

Description

technical field [0001] The invention belongs to the field of digital signal processing, optimizes the algorithm and hardware structure of an adaptive filter, studies an adaptive filtering algorithm that is easy to realize by hardware, and proposes an FPGA-based high-speed Delay-FxLMS filter design method. Background technique [0002] Currently, the most popular adaptive algorithm used in Active Noise Control (ANC) systems is the Filtered-X Least Mean Square (FxLMS) algorithm. Small and easy to implement, it has become the "benchmark" algorithm in active noise control and is widely used. The core of the ANC system is an adaptive algorithm and an adaptive filter. The adaptive filter has a wide range of applications in the fields of system identification, inverse modeling, linear prediction and interference cancellation. With the development of integrated circuit technology, traditional algorithms implemented by software usually cannot meet the required processing speed. FPGA...

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Problems solved by technology

[0003] Among the existing active noise control algorithms, the MATLAB simulation stage is the main one, and the DFxLMS algorithm itself has the problems of too large adaptive delay m and system output lag, which leads to a decline in the convergence of the algorithm

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