Time Variance Constant Gain Dual Extended Kalman Filter Approach to Track Maneuvering Targets

Shweta Shakya

Abstract: In this research paper a new technique is recommended for maneuvering target tracking problems in kalman filter. Basically maneuvering targets tracking is very strong area of research with applications in both the military and civilian fields. One of the fundamental problems in visualization is that of maneuver target tracking solve through time variance constant gain dual extended kalman filter (TV-CGDEKF). Within this paper I will make a new approach for design of Kalman filter algorithm to track the target and show the resulting improvement in maneuvering tracking. This is of greatest importance for high-performance real-time applications. More specifically, will describe the technique of how to track Moving of maneuvering. Experimental results demonstrate that, the proposed algorithm is more robust in tracking performance. The proposed method is suitable for indoors as well as outdoors scenes with static background and overcomes the problem of stationary targets fading into the background.

Keywords: Kalman filter, CGKF, Probability, maneuvering, non-maneuvering, MATLAB

How to Cite?: Shweta Shakya, "Time Variance Constant Gain Dual Extended Kalman Filter Approach to Track Maneuvering Targets", Volume 5 Issue 4, April 2016, International Journal of Science and Research (IJSR), Pages: 735-739, https://www.ijsr.net/getabstract.php?paperid=NOV162516, DOI: https://dx.doi.org/10.21275/NOV162516