Data fusion approach to threat assessment for radar resources management

Wojciech Komorniczak; Jerzy Pietrasinski; Basel Solaiman

doi:10.1117/12.458384

6 March 2002 Data fusion approach to threat assessment for radar resources management

Wojciech Komorniczak, Jerzy Pietrasinski, Basel Solaiman

Proceedings Volume 4731, Sensor Fusion: Architectures, Algorithms, and Applications VI; (2002) https://doi.org/10.1117/12.458384
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

The paper deals with the problem of the multifunction radar resources management. The problem consists of target/tasks ranking and tasks scheduling. The paper is focused on the target ranking, with the data fusion approach. The data from the radar (object's velocity, range, altitude, direction etc.), IFF system (Identification Friend or Foe) and ESM system (Electronic Support Measures - information concerning threat's electro - magnetic activities) is used to decide of the importance assignment for each detected target. The main problem consists of the multiplicity of various types of the input information. The information from the radar is of the probabilistic or ambiguous imperfection type and the IFF information is of evidential type. To take the advantage of these information sources the advanced data fusion system is necessary. The system should deal with the following situations: fusion of the evidential and fuzzy information, fusion of the evidential information and a'priori information. The paper describes the system which fuses the fuzzy and the evidential information without previous change to the same type of information. It is also described the proposal of using of the dynamic fuzzy qualifiers. The paper shows the results of the preliminary system's tests.

Citation Download Citation

Wojciech Komorniczak, Jerzy Pietrasinski, and Basel Solaiman "Data fusion approach to threat assessment for radar resources management", Proc. SPIE 4731, Sensor Fusion: Architectures, Algorithms, and Applications VI, (6 March 2002); https://doi.org/10.1117/12.458384

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