Authors: Jin Li; Yiming Pi
Addresses: School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China ' School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Abstract: Radar sensor networks and multi-sensors data fusion technology are the effective methods to improve the probability of target detection. The networks formed by miniaturised terahertz radar systems may encounter the problems that the micro motion target cannot be detected. In this paper, problems existed in conventional detection model and algorithm under micro-motion condition were analysed through combing the micro-motion signatures of the targets, the target detection model extracted on the basis of micro-motion parameters was proposed, the detection performance of this algorithm was discussed and the effectiveness of this algorithm was testified with simulations. It has been showed in the simulation results that radar detection probability can be effectively improved by the signal detection model extracted on the basis of micro-motion signatures. This algorithm solved the problem that the probability of detection is too low to detect the micro motion target, which would make the detection with terahertz radar networks feasibility.
Keywords: radar networks; terahertz radar; target detection; micro-Doppler signatures; micro motion signatures; simulation; radar detection probability; signal detection modelling.
International Journal of Sensor Networks, 2015 Vol.17 No.2, pp.115 - 121
Received: 15 Mar 2013
Accepted: 02 Oct 2013
Published online: 07 Mar 2015 *