Abstract: A single sampling radar signal processing system is disclosed, wherein the system comprises a pseudo-random sequence generator, an integral sampler, an ADC module, a controller and a compression domain detector, wherein the integral sampler is connected to the pseudo-random sequence generator, the controller and the ADC module, respectively, and the ADC module is connected to the compression domain detector. Since the initial integral sampling time of each pulse signal can be controlled when the integral sampler performs integral sampling on the pulse signal in the radar signal, each pulse signal is sequentially delayed by different times during integral sampling, and a sample value is obtained by compression sampling in a single pulse repetition period. A single sampling radar signal processing method is also disclosed.

Abstract: A single sampling radar signal processing system is disclosed, wherein the system comprises a pseudo-random sequence generator, an integral sampler, an ADC module, a controller and a compression domain detector, wherein the integral sampler is connected to the pseudo-random sequence generator, the controller and the ADC module, respectively, and the ADC module is connected to the compression domain detector. Since the initial integral sampling time of each pulse signal can be controlled when the integral sampler performs integral sampling on the pulse signal in the radar signal, each pulse signal is sequentially delayed by different times during integral sampling, and a sample value is obtained by compression sampling in a single pulse repetition period. A single sampling radar signal processing method is also disclosed.

Abstract: The present invention provides an infrared image reconstruction method based on block-sparse compressive sensing. The method includes: a block-sparse representation step: representing consecutive infrared small target image sequences as signals having block-sparse characteristics; a temporal correlation modeling step: modeling a temporal correlation of data between the consecutive infrared small target image sequences under a Bayesian framework; and a signal reconstruction and output step: reconstructing infrared small target images using a sparse learning algorithm and outputting final estimates of the signals. The present invention further provides an infrared image reconstruction system based on block-sparse compressive sensing.

Abstract: The present invention provides an infrared image reconstruction method based on block-sparse compressive sensing. The method includes: a block-sparse representation step: representing consecutive infrared small target image sequences as signals having block-sparse characteristics; a temporal correlation modeling step: modeling a temporal correlation of data between the consecutive infrared small target image sequences under a Bayesian framework; and a signal reconstruction and output step: reconstructing infrared small target images using a sparse learning algorithm and outputting final estimates of the signals. The present invention further provides an infrared image reconstruction system based on block-sparse compressive sensing.