Paper
12 March 2019 Spectrum reconstruction algorithm for multi-channel non-uniformly sampled SAR and error analysis
Author Affiliations +
Proceedings Volume 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application; 1102314 (2019) https://doi.org/10.1117/12.2521226
Event: Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 2018, Xi'an, China
Abstract
The SAR DPCMAB(Displaced Phase Centers Multiple Azimuth Beams mode) can increase the sampling rate in the azimuth direction,whereas, it brings the problem of non-uniform sampling. Using spectrum reconstruction algorithm can regain the spectrum of uniform sampling signal. However, as the influence of interferential factors produced during the operation of SAR system, such as channel characteristics inconsistency, sampling time deviation, random noise etc, spectrum noise is appended to the reconstruction spectrum resulting in the loss of reconstruction accuracy. The paper analyses the relationship between interference factors and reconstruction error by researching spectrum reconstruction of non-uniformly sampled LFM signals affected by interferential factors. Reconstructed spectrum influenced by interferential factors is obtained in the simulation. Further more, we present the relationship curve between spectral bias and interference factors. The simulation results show that the reconstruction errors grow linearly with the enhance of the interferential factors and approach to the spectral bias of non-uniformly sampled signal finally.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Jiang and Fan Zhang "Spectrum reconstruction algorithm for multi-channel non-uniformly sampled SAR and error analysis", Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 1102314 (12 March 2019); https://doi.org/10.1117/12.2521226
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KEYWORDS
Reconstruction algorithms

Error analysis

Synthetic aperture radar

Signal to noise ratio

Computer simulations

Image compression

Signal processing

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