A Impulse UWB Signal Detection Method Based on Compressive Sensing

Abstract

The invention discloses a pulse ultra wide band signal detection method based on compressed sensing. The pulse ultra wide band signal detection method based on compressed sensing includes the steps: utilizing random sampling in the compressed sensing theory to sample on received signals at a signal detection end, greatly reducing sampling rate which is needed by detection, and meanwhile arranging a stop condition which conducts part reconfiguration on the emitted pulse ultra wide band signals according to a specific parameter of a pulse ultra wide band emitter. The pulse ultra wide band signal detection method based on compressed sensing effectively reduces calculation cost of a detection method, utilizes a weighting least square estimation method to continuously reduce influence of an abnormal sample which corresponds to a position with a large residual value after the previous iteration, effectively improves rate of convergence of part reconfiguration process, guarantees orthogonality of the residual value and a chosen optimal vector, improves robustness of the detection method, obviously improves detection success rate under the condition of low signal-to-noise ratio, finally conducts detection judgment of signals by directly processing a part reconfiguration value through compressed sampling and simplifies achieving difficulty of the detection process.

Description

technical field [0001] The invention relates to a signal detection method in wireless communication, in particular to a pulse ultra-wideband signal detection method based on compressed sensing. Background technique [0002] Ultra-Wideband (UWB) technology is one of the main technologies of next-generation short-distance broadband wireless communication. Due to the characteristics of high speed, low power consumption and low cost, ultra-wideband technology can be well applied to short-distance high-speed wireless personal area networks (Wireless Personal Area Networks, WPAN), ranging, positioning, monitoring and wireless sensor networks, etc. field. In some of these applications, the detection of Impulse Radio UWB (IR-UWB) signals is a very important part. Therefore, the research on the detection of pulsed UWB signals has attracted extensive attention. [0003] However, when using traditional signal detection methods for pulsed UWB signal detection, according to the Shanno...

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Problems solved by technology

However, since the iterative optimization process of the matching pursuit reconstruction algorithm is carried out on the basis of all the vectors in the dictionary, it cannot avoid repeated selection of the previously selected optimal vector, resulting in a slow convergence process, so that in the letter Low probability of detection success in environments with low noise ratio

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