Frontiers in Signal Processing

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DOI: 10.22606/fsp.2020.41008

• HE Yong-qing
  College of Electrical Information Engineering, Southwest Minzu University, China
• PENG Liang-fu^*
  College of Electrical Information Engineering, Southwest Minzu University, China
• LING Yun-song
  College of Automation, University of Electronic Science and Technology of China, China
• QUAN Yu
  College of Electrical Information Engineering, Southwest Minzu University, China

When monitoring and tracking the relative distance and the azimuth angle between the host and the target aircraft, a traffic collision avoidance system (TCAS) needs to filter observed relative distance and azimuth angle using a Kalman filter. For the target of uniformly moving aircraft, the - filter algorithm is employed in general. In order to improve the filtering effect of - filtering algorithm, an improved filtering algorithm is presented in this paper. The algorithm not only considers the residual in direction of range, but also considers the residual in orthogonal direction of range. The calculation formula of range azimuth tracking filtering algorithm is derived according to the azimuth angle and the relative distance between the host and target aircraft, by projecting under rectangular coordinate system, considering both the residuals in direction of range and the orthogonal direction of range. The filtering effect of the algorithm has been verified by the Monte Carlo simulation carried out in MATLAB. The experiment results show that, in comparison with - filtering algorithm, this algorithm retains the advantage of lower computation cost of - filtering, and meanwhile achieves smaller estimate errors and better filtering effect.

target tracking, alpha-beta filtering, direction residual, distance azimuth tracking filter, matlab simulation.

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