Article Details

Title · Authors · Abstract · Keywords · DOI · References

Sparse Array Angle Measurement Method for 4D Millimeter-wave Radar Based on Matrix Completion

TONG Panpan, BI Xin, SHI Weigang

(Tongji University, Shanghai 201804, China)

Section：Communication Engineering · Vol. 2026, Issue 2 · Pages：10-15,20 · 2096-4706（2026）02-0010-07 · CLC number：TN95 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2026.02.002

Abstract

To address the issue of limited angular resolution caused by missing elements in the sparse linear array (SLA) of automotive 4D millimeter-wave radar, this paper proposes a high-resolution angle measurement method based on matrix completion. The sparse array signals are mapped into a low-rank Hankel matrix to complete the missing element signals and reconstruct an equivalent Uniform Linear Array (ULA). The Direction-of-Arrival (DOA) estimation is performed using the MUSIC algorithm, and simulations are conducted based on the TI-AWR2243 four-chip cascaded radar system. Experimental results show that the proposed method enhances the virtual array aperture and suppresses the grating lobe effect, achieving an angular estimation error within 0.1° to 0.2°, significantly improving angular resolution compared to the conventional FFT method. This effectively addresses the challenges of low angular resolution and limited multi-target resolution in sparse arrays, providing a high-precision, low-cost 4D perception solution for automotive radar systems and supporting autonomous driving in complex scenarios.

Keywords

matrix completion; 4D millimeter-wave radar; sparse array; high-resolution angle measurement

References

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Funding

National Key Research and Development Program Project (2022YFE0117100)

About the authors

Tong Panpan (1986-), male, Han ethnicity, from Suzhou, Anhui Province, is currently pursuing a PhD in 4D millimeter wave radar signal processing; Bi Xin (1980-), male, Han nationality, from Dunhua, Jilin, researcher, PhD, research direction: 4D millimeter wave radar signal processing, intelligent perception of autonomous driving, intelligent connected vehicle evaluation; Shi Weigang (1977-), male, Han ethnicity, from Yangpu, Shanghai. He is currently pursuing a PhD in 4D millimeter wave radar signal processing and intelligent connected vehicle evaluation.