Method for restoring source signal in undetermined underdetermined blind source separation based on single-layer perceptron

Abstract

The invention discloses a method for restoring a source signal in undetermined underdetermined blind source separation based on a single-layer perceptron. According to the method for restoring the source signal in the undetermined underdetermined blind source separation based on the single-layer perceptron, an observation signal matrix is first obtained; afterwards, the clustering is carried out on all column vectors in the observation signal matrix to obtain a hybrid matrix; the column vector of a to-be-restored source signal is calculated according to the observation signal matrix and the hybrid matrix; the column vector of the to-be-restored source signal is updated by utilizing a single-layer perceptron method; a restored source signal is finally obtained. By using the method for restoring the source signal in the undetermined underdetermined blind source separation based on the single-layer perceptron, the defects that the restoration precision of the source signal is easily influenced by a noise error and the calculation complexity is slightly high, existing in the prior art, are overcome; the method for restoring the source signal in the undetermined underdetermined blind source separation based on the single-layer perceptron is enabled to have the advantages of quickly restoring the source signal while the higher restoration precision can be maintained.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a single-layer perceptron-based underdetermined blind source separation source signal recovery method in the technical field of signal processing. The invention can process military communication signals, image signals and biomedical signals, and realize the recovery of underdetermined blind source separation source signals under the condition that the mixing matrix has been estimated. Background technique [0002] Underdetermined blind source separation is to estimate the source signal only by using the observed signal when the parameters of the transmission channel are unknown and the number of observed signals is less than the number of source signals. The underdetermined blind source separation technology only needs a small number of sensors to receive mixed signals, which not only meets specific occasions, but also saves costs. [0003] The existing underdetermi...

AI Technical Summary

Problems solved by technology

However, the disadvantage of this patented technology is that, according to the observed signal matrix and the estimated mixed matrix, the linear programming method is used to recover the source signal, and the recovery accuracy of the source signal is easily affected by errors, which is difficult in practical applications. Guaranteed recovery of the source signal with high accuracy

However, the disadvantage of this method is that it is difficult to balance the accuracy and time complexity of source signal recovery with a fixed iteration step size, and it is difficult to guarantee the recovery of source signal at a faster rate in practical applications.

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