TY - GEN A1 - Liu, Shengheng A1 - Mao, Zihuan A1 - Liu, Yiran A1 - Fei, Tai A1 - Gardill, Markus A1 - Huang, Yongming T1 - TRANM: Decoherenced DoA Estimation for Automotive Radar Using Generalized Sparse Arrays T2 - Signal Processing N2 - This paper tackles the challenge of coherent single-snapshot direction-of-arrival estimation in automotive linear frequency modulated continuous wave (LFMCW) radar using a generalized sparse array. By leveraging atomic-norm minimization (ANM)-based interpolation and Toeplitz rearrangement, a TRANM framework is proposed to address the rank-deficiency issue in the range-Doppler domain. To further enhance computational efficiency, we re-formulate the TRANM problem into an equivalent optimization with reduced dimensionality. The problem is then solved using the alternating direction method of multipliers, which provides an optimal solution via an iterative process. Numerical simulations validate that the proposed approach can accurately resolve coherent signals with improved degrees of freedom and achieve super-resolution, all while maintaining a low computational cost. Y1 - 2025 U6 - https://doi.org/10.1016/j.sigpro.2025.109895 VL - 231 PB - Elsevier ER -