Transform-domain-based narrowband interference inhibiting method in shortwave spread spectrum communication

Abstract

The invention relates to a transform-domain-based narrowband interference inhibiting method in shortwave spread spectrum communication. The method comprises the following steps of performing chip matching filtering, sampling, wavelet packet transformation and filtering on a spread spectrum signal with narrowband interference in shortwave communication; then limiting an amplitude of the transform domain, and performing wavelet packet inverse transformation and lease mean square (LMS) filtering on the signal which is subjected to amplitude limiting; and judging the filtered data to obtain an estimated transmission symbol. By the method, the algorithm offset error is reduced, the algorithm has lower complexity, and the narrowband interference can be effectively located in a certain frequency domain range; and the located 'polluted' frequency range is removed, and then the signal which is subjected to interference inhibition-recovery is synthesized by a wavelet packet. The narrowband interference inhibiting effect is improved in terms of real time property and accuracy.

Description

technical field [0001] The invention belongs to the technical field of information communication, in particular to a narrow-band interference suppression method based on transform domain in short-wave spread spectrum communication. Background technique [0002] The spread spectrum communication system has inherent anti-interference ability, but when the power of the interference is much greater than the power of the signal, such as when the signal is greatly attenuated or artificially interfered, in order to improve the communication quality of the system, other signal processing measures must be used . Since the application of DSSS (Direct Sequence Spread Spectrum) technology, people began to study the anti-interference technology of DSSS system, and proposed many effective interference suppression methods. These technologies generally use different signal processing methods to deal with interference before despreading Predict or locate disturbances, and then eliminate the...

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Problems solved by technology

[0006] Among many adaptive algorithms, the LMS (Lease Mean Square) algorithm is favored due to its small computational complexity, but the convergence speed of the LMS algorithm is relatively slow. The RLS algorithm is an algorithm with a very fast convergence speed, but its computational complexity It is too high. In short, there is an irreconcilable contradiction between the computational complexity and the convergence speed of the adaptive algorithm. We need to propose the technology of the present invention according to the actual situation.

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