PUTRA, ILHAM TIARA
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Enhanced Angular Resolution in OEST Radar Using Hybrid APES-MUSIC Algorithm RAMDANSYAH, RANDI; TAHCFULLOH, SYAHFRIZAL; RISKY, DWI; SAFARIA, NUR; PUTRA, ILHAM TIARA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 4: Published November 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i4.369

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.