Identity variance for multi-object estimation
David Frederic Crouse, Peter Willett · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
We define the notion of an "identity variance" for expressing the level of uncertainty between target identities in a PDF representing the states of multiple targets. This, coupled with an OSPA covariance introduced in past work, can form a basis for evaluating both the accuracy of the state estimates as well as the confidence in the identities of the states. A potential application of the identity variance is as a criterion for choosing between waveforms optimized for producing accurate position estimates versus good classification information on a multifunction radar.