An iterative procedure for ultra-wideband imagery of space objects from distributed multi-band radar data

Xiaojian Xu; Feiyang He

doi:10.1117/12.2061697

18 September 2014 An iterative procedure for ultra-wideband imagery of space objects from distributed multi-band radar data

Xiaojian Xu, Feiyang He

Author Affiliations +

Proceedings Volume 9227, Unconventional Imaging and Wavefront Sensing 2014; 922709 (2014) https://doi.org/10.1117/12.2061697
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

A novel technique is proposed for ultra-wideband imagery of space objects from distributed multi-band radar data. The complex exponential (CE) model is used for representation of ultra-wideband radar signals, where an iterative procedure is developed for optimized model parameter estimation. A subband coherent processing technique is developed which combines the de-noising cross-correlation (DNCC) algorithm with statistical method to obtain the phase and amplitude incoherent parameters (ICP) between subbands. Ultra-wideband data fusion via two-dimensional gapped-data state space approach (2-D GSSA) is then applied to multiple subband signals for supper-resolution imagery. Experiments using computational electromagnetic data from the method of moment (MoM) as well as anechoic chamber measurement data are used to validate the proposed technique and demonstrate its applications.

Citation Download Citation

Xiaojian Xu and Feiyang He "An iterative procedure for ultra-wideband imagery of space objects from distributed multi-band radar data", Proc. SPIE 9227, Unconventional Imaging and Wavefront Sensing 2014, 922709 (18 September 2014); https://doi.org/10.1117/12.2061697

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