title: Identification-While-Scanning of a Multi-Aircraft Formation Based on Sparse Recovery for Narrowband Radar.
abstract: It is known that the identification performance of a multi-aircraft formation (MAF) of narrowband radar mainly depends on the time on target (TOT). To realize the identification task in one rotated scan with limited TOT, the paper proposes a novel identification-while-scanning (IWS) method based on sparse recovery to maintain high rotating speed and super-resolution for MAF identification, simultaneously. First, a multiple chirp signal model is established for MAF in a single scan, where different aircraft may have different Doppler centers and Doppler rates. Second, based on the sparsity of MAF in the Doppler parameter space, a novel hierarchical basis pursuit (HBP) method is proposed to obtain satisfactory sparse recovery performance as well as high computational efficiency. Furthermore, the parameter estimation performance of the proposed IWS identification method is analyzed with respect to recovery condition, signal-to-noise ratio and TOT. It is shown that an MAF can be effectively identified via HBP with a TOT of only about one hundred microseconds for IWS applications. Finally, some numerical experiment results are provided to demonstrate the effectiveness of the proposed method based on both simulated and real measured data.
authors.affiliation: School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. jiangyuan@bit.edu.cn.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Jiang
authors.affiliation: School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. xujia@bit.edu.cn.
authors.forename: Jia
authors.initials: J
authors.lastname: Xu
authors.affiliation: Department of Electronic Engineering, Tsinghua University, Beijing 100084, China. pengshibao@mail.tsinghua.edu.cn.
authors.forename: Shi-Bao
authors.initials: SB
authors.lastname: Peng
authors.affiliation: School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. maoerke@bit.edu.cn.
authors.forename: Er-Ke
authors.initials: EK
authors.lastname: Mao
authors.affiliation: School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. longteng@bit.edu.cn.
authors.forename: Teng
authors.initials: T
authors.lastname: Long
authors.affiliation: Department of Electronic Engineering, Tsinghua University, Beijing 100084, China. ynpeng@mail.tsinghua.edu.cn.
authors.forename: Ying-Ning
authors.initials: YN
authors.lastname: Peng
keywords: hierarchical basis pursuit (HBP); identification-while-scanning (IWS); multi-aircraft formation (MAF); narrowband radar; sparse recovery