Year: 2024
Type: article
Abstract: Nonlinear radars detect electronic targets by capturing weak nonlinear responses from electronic devices and excluding linear objects. However, inducing and capturing these responses require high-power and high-gain amplifiers, which inevitably produce self-generated harmonics. To suppress these harmonics, this study developed a technique that predicts their generation paths and collects look-up table (LUT) data based on the distances to linear objects. The optimal weights for the LUT data were derived using the particle swarm optimization (PSO) algorithm. Measurements were performed with three nonlinear targets at 6 m and walls at 2.5 m and 4 m. The results indicate improved detection performance, with a reduced cell-average constant false alarm rate (CA-CFAR) threshold at the target position when the proposed algorithm was applied.
Authors: Won-Ryeol Lee, Soo-Young Oh, Sun-Ki Hong
Institution: Soongsil University
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Award: G4080400115
OpenAlex ID: W4405761029