@inproceedings{58adbd98efae416c84348bb1945c3e98,
title = "A range-angle estimation algorithm for array FMCW radar based on spatial and temporal sparse extending",
abstract = "Array frequency modulated continuous wave (FMCW) radar is widely used across various platforms to estimate the range and angle of targets using large bandwidth and array angle measurement technology. However, limited platform space and antenna aperture can make obtaining high-precision angle estimations challenging. To address this, a range-angle estimation algorithm based on spatial and temporal sparse extending is proposed. The algorithm extends the array using a nested array in the spatial domain and a sparse virtual array sampled at different locations through platform movement in the temporal domain. The resulting spatial-temporal extended array is equivalent to a large aperture virtual uniform linear array, improving the angle resolution through difference and spatial smoothing processing. By making full use of spatial and temporal information, this method achieves high-precision angle estimation with fewer array elements.",
keywords = "FMCW radar, difference co-array, nested array, spatial and temporal extending",
author = "Xinwei Wang and Xiaopeng Yan and Yanwen Han and Dingkun Huang",
note = "Publisher Copyright: {\textcopyright} 2023 SPIE.; 2023 International Conference on Image, Signal Processing, and Pattern Recognition, ISPP 2023 ; Conference date: 24-02-2023 Through 26-02-2023",
year = "2023",
doi = "10.1117/12.2680969",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Paulo Batista and Pachori, {Ram Bilas}",
booktitle = "International Conference on Image, Signal Processing, and Pattern Recognition, ISPP 2023",
address = "United States",
}