A device and method for implementing noise cancellation based on mesh-free sparse sensing technology

Abstract

The invention discloses a device and a method for realizing noise cancellation based on meshless sparse sensing technology, and belongs to the field of electronic test equipment. The device comprises an A / D collection unit, a first addition unit, a second addition unit, a first weighting unit, a first delay unit, a second delay unit, a lambda noise signal synthesizing unit, a Z signal synthesizing unit, a feature value extracting unit, a feature vector extracting unit, a coefficient calculating unit, a signal superimposing unit, an iterative operation unit, a Toeplitz operation unit and a noise reduction unit. The device disclosed by the invention has the fast and efficient weak signal detection capability with high sensitivity, successfully counteracts the original noise of the signal, improves the signal to noise ratio of the signal, satisfies the demand of receiving weak signals of electronic equipment and the demand of designing a 5G electronic test instrument with high sensitivity, and enhances the receiving capability of a signal receiving module in the electronic equipment, the test sensitivity of the electronic test instrument and other core indicators.

Description

technical field [0001] The invention belongs to the field of electronic testing equipment, and in particular relates to a device and method for realizing noise cancellation based on gridless sparse sensing technology. Background technique [0002] In electronic testing and signal processing, signal and noise are like a pair of partners, inseparable. Especially the weak signal, because the weak signal is submerged in the background noise, it is difficult to distinguish in the time domain and frequency domain. How to remove the noise and how to extract the signal is a consistent research issue of various research institutions and universities at home and abroad. In addition, removing noise, extracting signals, and correctly calculating the frequency, power and other characteristics of the signal are very useful and have applications in many fields, such as direction of arrival estimation in radar target positioning, sensor array signal processing, imaging systems, and Signal ...

AI Technical Summary

Problems solved by technology

Adaptive matched filtering technology is suitable for the sensing node to know the relevant information of the main user signal. Its advantages are fast detection speed and large processing gain, but the disadvantage is that it needs to know the prior information of the signal in advance and has high requirements for phase synchronization; energy detection technology It is suitable for the sensing contact without knowing the relevant information of the main user signal. Its advantages are simple and easy to implement, no prior information of the signal is required, and the phase requirement is low, but the disadvantage is that the detection time is long, and the type of signal and noise cannot be distinguished, and it is not suitable for signals such as frequency modulation. Detection; cyclostationary characteristic detection technology is suitable for user signals with cyclostationary characteristics. Its advantages are high detection sensitivity and can distinguish signal and noise types, but its disadvantages are high computational complexity and sampling clock offset affects detection performance

Images