초록 ▼

A target track data correlating decision in a multisensor system which decides whether the tracking data and observation data sent from a plurality of sensor sites are ones on the same target or different targets on the basis of the data. The correlation decision is implemented in a method and appar

A target track data correlating decision in a multisensor system which decides whether the tracking data and observation data sent from a plurality of sensor sites are ones on the same target or different targets on the basis of the data. The correlation decision is implemented in a method and apparatus in such a manner that the likelihood ratios of parameters of the target track data are calculated and compared to decide whether the target is the same or not in accordance with a density distribution of each parameter of the data.

대표청구항 ▼

A method of correlating target track data for deciding whether data obtained from two sensor sites are from the same target or from different targets, each of said data including a plurality of parameters, comprising the steps of: first step of preparing a plurality of reference values which are det

A method of correlating target track data for deciding whether data obtained from two sensor sites are from the same target or from different targets, each of said data including a plurality of parameters, comprising the steps of: first step of preparing a plurality of reference values which are determined in accordance with a combination of minimum values of likelihood ratio functions for each of said parameters; second step of obtaining the log-likelihood ratio of numerical values obtained from said two sensor sites with reference to a pair of first parameters whose space density distribution is most sparse; third step of comparing the log-likelihood ratio obtained in said second step with a first reference value which is the minimum of said plurality of reference values, and determining that said data are from different targets, when the log-likelihood ratio is larger than said first reference value; and fourth step of accumulating the log-likelihood ratio of each of the parameter values from that of a pair of parameters whose space density parameter is sparse in order, comparing the accumulated value with the reference value selected from said plurality of reference values, said selected reference value corresponding to the number of times of said accumulation, and determining that said data are from different targets when the accumulated value exceeds the reference value; whereby, when the accumulated value of the log-likelihood ratio with respect to all parameters to be compared has not exceeded the reference value which has the maximum value, it is determined that said data are from the same target.