Igence have extensive experience of the analysis and implementation of state of the art radar trackers. Our trackers have been demonstrated on data from a wide range of military and civilian platforms. Igence’s Virtual Radar Library covers the entire radar signal processing chain including tracking and exploitation.
Modelling geo-location performance
ISTAR is a key military capability that is fundamental to a Network Enabled Capability providing accurate targeting of military effects, enhanced situational awareness reducing the risk of “friendly fire” and improving force protection. The current challenge is to combine wide ranging sources of ISTAR data to provide integrated sensing and a real-time intelligence cycle.
Under a MoD CDE project Igence are developing a general and powerful mathematical framework for multi-sensor geo-location of multiple moving targets. The goal of this work is to enable the sharing of data, information and intelligence across a network to provide a real-time intelligence cycle and persistent surveillance. We have analysed the general geo-location problem capturing the effects of multiple targets, false alarms from clutter and imperfect detection of targets and enabling the prediction of geo-location performance, quantified by SIAP metrics, in realistic operational scenarios.
Sensor bias is a common problem limiting the performance of sensor fusion systems. We have tackled this problem by developing
a novel tracker to tackle the problem of sensor fusion in the presence of unknown sensor bias. A single bias vector is tracked along with the states of all
the targets. A non-standard implementation maintains multiple hypotheses for bias and allows multiple sensor biases to be estimated and corrected.