A chaotic radar system has been developed for through-wall detection and ranging of targets. The chaotic signal generated by an improved Colpitts oscillator is designed as a probe signal. Ranging to target is achieved by the cross-correlation between the time-delayed reflected return signal and the replica of the transmitted chaotic signal. In this paper, we explore the performance of the chaot...

A dual detection system for protein arrays is presented that combines label-free detection by optical interference with chemiluminescence. A planar protein array that targets hepatitis B surface antigen is developed. Surface densities for individual antibody spots are quantitated using optical interference prior to use. Target binding (10 ng/ml) is detected label-free. Target binding (1 ng/ml) ...

On-site management of construction sites has always been a significant problem faced by the industry. With development UAVs, their use to monitor safety and progress will make more intelligent. This paper proposes multi-category target detection system based on UAV low-altitude remote sensing, aiming solve problems relying fixed-position cameras single category established targets when mainstre...

Abstract: This paper proposes a novel scheme for multi-static passive radar processing, based on soft-input soft-output processing and Bayesian sparse estimation. In this scheme, each receiver estimates the probability of target presence based on its received signal and the prior information received from a central processor. The resulting posterior target probabilities are transmitted to the c...

Infrared target detection research has recently attracted much attention, especially in pedestrian detection. In this paper, we use compressive sensing theory, a new and emerging field, for an infrared target detection system. Based on the framework of Bayesian filter, target is expressed by sparse representation. Compressive sensing (CS) is based on the illusion that a small quantity of non-ad...