Unimodular Waveform Design with Low Correlation Levels: A Fast Algorithm Development to Support Large-Scale Code Lengths

Li, Yongzhe; Shi, Chunxuan; Tao, Ran

doi:10.1109/icassp43922.2022.9747746

Cited by 7 publications

(1 citation statement)

References 22 publications

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“…Automotive radars often employ multiple-input multiple-output (MIMO) arrays to improve resolution without using many antennas [10]. In this case, the design problem requires obtaining a set of mutually (quasi-)orthogonal waveforms via minimization of low integrated sidelobe level (ISL) or weighted ISL (WISL) [28][29][30] thereby leading to improved target extraction [31], resolution [32], and robustness [28].…”

Section: Introductionmentioning

confidence: 99%

Near-Field Low-WISL Unimodular Waveform Design for Terahertz Automotive Radar

Eamaz¹,

Yeganegi²,

Mishra³

et al. 2023

Preprint

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Conventional sensing applications rely on electromagnetic far-field channel models with plane wave propagation. However, recent ultra-short-range automotive radar applications at upper millimeter-wave or low terahertz (THz) frequencies envisage operation in the near-field region, where the wavefront is spherical. Unlike far-field, the near-field beampattern is dependent on both range and angle, thus requiring a different approach to waveform design. For the first time in the literature, we adopt the beampattern matching approach to design unimodular waveforms for THz automotive radars with low weighted integrated sidelobe levels (WISL). We formulate this problem as a unimodular bi-quadratic matrix program, and solve its constituent quadratic sub-problems using our cyclic power method-like iterations (CyPMLI) algorithm. Numerical experiments demonstrate that the CyPMLI approach yields the required beampattern with low autocorrelation levels.

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