--- res: bibo_abstract: - In this paper, we apply a high-resolution approach, i.e. the matrix pencil method (MPM), to the FMCW automotive radar system to separate the neighboring targets, which share similar parameters, i.e. range, relative speed and azimuth angle, and cause overlapping in the radar spectrum. In order to adapt the 1D model of MPM to the 2D range-velocity spectrum and simultaneously limit the computational cost, some preprocessing steps are proposed to construct a novel separation algorithm. Finally, this algorithm is evaluated in both simulation and real data, and the results indicate a promising performance.@eng bibo_authorlist: - foaf_Person: foaf_givenName: Tai foaf_name: Fei, Tai foaf_surname: Fei - foaf_Person: foaf_givenName: Christopher foaf_name: Grimm, Christopher foaf_surname: Grimm - foaf_Person: foaf_givenName: Ridha foaf_name: Farhoud, Ridha foaf_surname: Farhoud - foaf_Person: foaf_givenName: Tobias foaf_name: Breddermann, Tobias foaf_surname: Breddermann - foaf_Person: foaf_givenName: Ernst foaf_name: Warsitz, Ernst foaf_surname: Warsitz - foaf_Person: foaf_givenName: Reinhold foaf_name: Haeb-Umbach, Reinhold foaf_surname: Haeb-Umbach foaf_workInfoHomepage: http://www.librecat.org/personId=242 dct_date: 2017^xs_gYear dct_language: eng dct_title: A Novel Target Separation Algorithm Applied to The Two-Dimensional Spectrum for FMCW Automotive Radar Systems@ ...