Research On Algorithm Of Multi-sensor And Multi-target Tracking And Its Implementation In Engineering

As a basic sensing means for target detection and recognition, battlefield detection and monitoring, radar has been used for many years. The development trend as well as the research content of modern radar systems is to achieve reasonable tactical allocations and networking according to the characteristics of different radars. Tracking fusion is an important research field in muti-sensor information fusion and is also an effective way for solving the problem of multiple targets tracking through radar networking system. The problem of multi-sensor multi-target tracking becomes particularly complex when the clutter in tracking environment is of high density or the target shows mobility. This paper focuses on two algorithms of multi-sensor multi-target tracking and their project realizations.1. This paper presents the multi-sensor data fusion algorithm based on multiple hypothesis tracking; the algorithm not only applies to multi-sensor plot fusion but also applies to multi-sensor track fusion.2. This paper presents a multi-dimension data association algorithm for multi-sensor fusion:first determine the multi-target tracking mode, and then select the data association algorithm of different dimensions according to the tracking mode.