Band channel calibration particle swarm optimization broadband beam forming method and device

Abstract

The invention discloses a band channel calibration particle swarm optimization broadband beam forming method and device. The method comprises the following steps: calculating a compensation coefficient of an adaptive calibration compensation filter corresponding to each microphone array element channel; determining a frequency band range in which a user is interested and a main lobe and a side lobe of an array beam in the frequency band range; calculating an input spectrum power autocorrelation matrix in the frequency band range in which the user is interested, and constructing a problem of solving an optimal FIR filter weight coefficient under a linear constraint minimum variance criterion; converting the problem into an unconstrained optimization problem, and solving by using a particle swarm optimization algorithm to obtain the optimal FIR filter weight coefficient; summing the digital signal after filtering compensation by using the optimal FIR filter weight coefficient, and outputting a time domain signal after beam forming; and if a target sound source incoming wave direction or side lobe constraint, interference and noise suppression requirements to which the wave beam points are changed, recalculating the FIR filter weight coefficient.

Description

technical field [0001] The invention relates to a particle swarm optimization broadband beamforming method with channel calibration, and also relates to a corresponding broadband beamforming device, belonging to the technical field of acoustics. Background technique [0002] With the development of array signal processing technology, the beam forming method has been widely used in the fields of radar, communication and intelligent voice. The application of array voice enhancement requires the formation of relatively consistent broadband beams in the audio frequency range, improving the array directionality, effectively enhancing the target voice signal, and suppressing interference and various random noises at the same time. [0003] Broadband beamforming methods can be divided into fixed beamforming methods and adaptive beamforming methods. Although adaptive beamforming methods make full use of the statistical characteristics of array received signals, it is difficult to ob...

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Problems solved by technology

However, this method has the following disadvantages: first, the types of interference and noise in the actual acoustic environment are complex, and there are factors such as scattering noise and strong directional interference sources, which lead to a decrease in the processing performance of the array; second, the synthesized beam is not accurate enough; third, The reason is that the robustness of this method is poor, and the mismatch of the amplitude or phase between the array elements will lead to a serious decline in the performance of the array beam, which seriously affects its practicality.

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