Enhanced electronically scanned array resource management through multisensor integration

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Abstract
The integration of multiple sensors for target tracking and resource management has been intensely investigated and several effective techniques have been developed. These conventional techniques employ decision-directed logic and are very complex but have the potential to improve performance. For most systems, each sensor provides its information to a central location where the integration occurs. The central track is employed for system decisions and it is typically not used by the individual sensors. This low level of integration provides a manageable tracking environment but restricts the potential for system improvement. An electronically scanned array (ESA) is highly controllable and has the ability to greatly enhance tracking performance. Resource allocation for an ESA is critical since it must support multiple functions, and several modern techniques have been developed to enhance its performance as a stand-alone sensor by effectively managing its time-energy budget. The integration of an ESA with other sensors can further enhance the tracking and reduce the resource allocation requirements of the ESA. This paper presents a technique for ESA resource management through the use of multisensor integration. The proposed technique avoids the decision-directed logic associated with conventional techniques by employing the interacting multiple model (IMM) algorithm. Simulation results are provided to demonstrate the effectiveness of this modern integration technique.© (1997) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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