IEEE Transactions on Aerospace and Electronic Systems · 2010 · 50 citations · 21 references
EngineeringComputer ScienceSystems EngineeringArmed ConflictMachine LearningSensor FusionAir WarfareInterference ManagementRadar Signal ProcessingRadar SystemsSignal Detection TheoryAutomatic Target RecognitionDiversity CombiningElectronic Warfare Signal ProcessingRadar WarfareRadar Waveform DesignTarget ClassificationTarget Recognition
Network‑enabled electronic warfare (NEW) refers to modeling and simulation that assess the benefits and limits of linking multiple electronic support and attack assets, though their quantitative advantages remain unquantified. The study demonstrates how radar‑based ESM and EA assets can be leveraged in NEW to enhance collaborative automatic target recognition and introduces maximum‑likelihood ATR algorithms for both nonfluctuating and fluctuating targets. The authors theoretically analyze waveform design, coexistence conditions, and inter‑waveform interference in radar sensor networks, and employ waveform diversity combining to support NEW‑CATR. Simulations show that NEW‑CATR outperforms single‑sensor ATR for both nonfluctuating and fluctuating targets.
Network-enabled electronic warfare (NEW) is the development of modeling and simulation efforts that explore the advantages and limitations of NEW concepts. The advantages of linking multiple electronic support measures (ESM) and electronic attack (EA) assets to achieve improved capabilities across a networked battle force have yet to be quantified. In this paper, we utilize radar sensors as ESM and EA assets to demonstrate the advantages of NEW in collaborative automatic target recognition (CATR). Signal (waveform) design for radar sensor networks (RSN) in NEW is studied theoretically. The conditions for waveform coexistence and the interferences among waveforms in RSN are analyzed. We apply the NEW to CATR via waveform diversity combining and propose maximum-likelihood (ML)-ATR algorithms for nonfluctuating targets as well as fluctuating targets. Simulation results indicate that our NEW-CATR performs much better than the single sensor-based ATR algorithm for nonfluctuating and fluctuating targets.
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Sensor Review · 1999 · 6.1K citations · Full text
Natural Sciences, Electrical Engineering, Systems Engineering +9