Real-time radar data fusion and registration systems for single integrated air picture

Andrew L. Drozd; Ruixin Niu; Irina Kasperovich; Pramod K. Varshney; Clifford E. Carroll

doi:10.1117/12.665786

17 May 2006 Real-time radar data fusion and registration systems for single integrated air picture

Andrew L. Drozd, Ruixin Niu, Irina Kasperovich, Pramod K. Varshney, Clifford E. Carroll

Proceedings Volume 6235, Signal Processing, Sensor Fusion, and Target Recognition XV; 62350U (2006) https://doi.org/10.1117/12.665786
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

Real-time fusion of data collected from a variety of radars that acquire information from multiple perspectives and/or different frequencies, is being shown to provide a more accurate picture of the adversary threat cloud than any single radar or group of radars operating independently. This paper describes a cooperative multi-sensor approach in which multiple radars operate together in a non-interference limited manner, and where decision algorithms are applied to optimize the acquisition, tracking, and discrimination of moving targets with low false alarm rate. The approach is twofold: (i) measure and process radar returns in a shared manner for target feature extraction by exploiting frequency and spatial diversity; and (ii) employ feature-aided track/fusion algorithms to detect, discriminate, and track real targets from the adversary noise cloud. The results of computer simulations are provided that demonstrate the advantages of this approach.

Citation Download Citation

Andrew L. Drozd, Ruixin Niu, Irina Kasperovich, Pramod K. Varshney, and Clifford E. Carroll "Real-time radar data fusion and registration systems for single integrated air picture", Proc. SPIE 6235, Signal Processing, Sensor Fusion, and Target Recognition XV, 62350U (17 May 2006); https://doi.org/10.1117/12.665786

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