Sensor Resolution Models and Multidimensional Data Association.
Felix Opitz · 2006
Abstract: The multidimensional data association methods were developed to establish the relation between plots and tracks especially indense target situations. However, even these advanced multidimensional data association methods lack in situations of unresolved measurement. Specifically, inreal dense target situations being ofmost interest the phenomena of unresolvedplots happens quite often due to the limited sensor resolution. The data association describes the correlation between tracks representing targets and plots. There are several hypotheses about the origin of anew sensor plot: It may be unreal and has to be ignored (false alarm). Otherwise, itisassumed to be real and then one has to discriminate between plots related to tracks supported by previous plots (update) and those, which are not (new track). Finally, anexisting track may be not reported due toamiss (no detection). Tohandel also unresolved plot hypotheses a sensor resolution model is necessary which has to be integrated into the multidimensional data associationframework. 1 Resolution Models The resolution of a radar system means the distance in any dimension between two targets sothat they are reported as independent plots. One has to find aheuristic model, which allows an overall approximation ofsuch effects. 1.1 LinearModel The most simple class of models are the linear ones [BP99]. Let w i, i � �1, � , L � be the distance between the targets and t,e.g. in range azimuth, elevation orDoppler and R d i t 1 2 the sensor resolution. One postulates for the merging probability wrt. the component i: 329 M P i