A survey of PHD filter and CPHD filter implementations

Ronald Maher

doi:10.1117/12.721125

7 May 2007 A survey of PHD filter and CPHD filter implementations

Ronald Maher

Proceedings Volume 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI; 65670O (2007) https://doi.org/10.1117/12.721125
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

The probability hypothesis density (PHD) filter has attracted increasing interest since the author first introduced it in 2000. Potentially practical computational implementations of this filter have been devised, based on sequential Monte Carlo or on Gaussian mixture techniques. Research groups in at least a dozen different nations are investigating the PHD filter and its generalization, the CPHD filter, for use in various applications. Some of this work suggests that these filters may, under certain circumstances, outperform conventional multitarget filters such as MHT and JPDA. This paper summarizes these research efforts and their findings.

Citation Download Citation

Ronald Maher "A survey of PHD filter and CPHD filter implementations", Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65670O (7 May 2007); https://doi.org/10.1117/12.721125

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