Enhanced Angular Resolution in OEST Radar Using Hybrid APES-MUSIC Algorithm

RANDI RAMDANSYAH, SYAHFRIZAL TAHCFULLOH, DWI RISKY, NUR SAFARIA, ILHAM TIARA PUTRA

Abstract


Limited angular resolution in Overlapped Equal Subarray Transmit (OEST) radar poses a critical challenge in detecting closely spaced targets, especially in complex multi-target environments. This paper evaluates super-resolution MUSIC and APES methods to enhance angular resolution in OEST radar systems with 6 subarrays. Performance analysis was conducted under single and multiple target scenarios: one target at 0.5°, two targets at [0°, 0.5°], and three targets at [–0.5°, 0°, 0.5°]. Both methods achieved accurate angle detection for single and dual-target cases. However, in triple-target scenarios, APES demonstrated superior DoA and RCS estimation precision (up to 0.999) despite higher sidelobes, whereas MUSIC showed reduced RCS accuracy but lower sidelobes. The hybrid APES-MUSIC approach produced sharp spectral peaks, near-unity amplitude response, and minimized sidelobe interference, significantly improving estimation accuracy and stability for this radar in dense multi-target settings.

Keywords


multi-target detection; APES-MUSIC-hybrid; sidelobe-suppression; angular-resolution

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References


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DOI: https://doi.org/10.26760/elkomika.v13i4.369

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ISSN (print) : 2338-8323 | ISSN (electronic) : 2459-9638

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