A joint probabilistic data association algorithm for distributed multisensor system in jamming and low-RCS target environment

Conventional target association and tracking techniques such as PDA and JPDA have very fine performance when the measurement acquired from sensors are perfect. However, when jamming and stealth techniques are widely used, it is very difficult for sensors to gain perfect measurements. Though a single sensor in a distributed sensors system might fail to acquire continually perfect measurements of low-RCS (stealth) targets under jamming environment, the distributed sensors system might gain relatively perfect measurements by integrating measurement hits or fractional trajectories of targets from every sensor in the system. The paper discusses association and tracking techniques under the circumstances mentioned above. Special attention is paid to track initiation and data association. Monte Carlo simulation test results are also presented in the paper.