Sparse Bayesian Perspective for Radar Coincidence Imaging with Model Errors
نویسندگان
چکیده
منابع مشابه
Sparse Auto-Calibration for Radar Coincidence Imaging with Gain-Phase Errors
Radar coincidence imaging (RCI) is a high-resolution staring imaging technique without the limitation of relative motion between target and radar. The sparsity-driven approaches are commonly used in RCI, while the prior knowledge of imaging models needs to be known accurately. However, as one of the major model errors, the gain-phase error exists generally, and may cause inaccuracies of the mod...
متن کاملA Sparse Bayesian Approach for Forward-Looking Superresolution Radar Imaging
This paper presents a sparse superresolution approach for high cross-range resolution imaging of forward-looking scanning radar based on the Bayesian criterion. First, a novel forward-looking signal model is established as the product of the measurement matrix and the cross-range target distribution, which is more accurate than the conventional convolution model. Then, based on the Bayesian cri...
متن کاملSparse Methods for Model Estimation with Applications to Radar Imaging
In additive component model estimation problems, the number of additive components (model order) and values of the model parameters in each of the additive components are estimated. Traditional methods typically estimate parameters for a set of models with fixed order; parameter estimation is performed over a continuous space when parameters are not discrete. The model order is estimated as the...
متن کاملThree Dimensional Radar Coincidence Imaging
Two dimensional (2D) radar coincidence imaging is an instantaneous imaging technique which can obtain 2D focused highresolution images using a single pulse without the limitation to the target relative motions. This paper extends the imaging method to three dimensions. Such a three-dimensional (3D) radar imaging technique does not rely on Doppler frequency for resolution and has an extremely sh...
متن کاملSparse Aperture Radar Imaging
Radar data collected from airplanes in real time is generally sparse except in very special cases. We demonstrate several tools and approaches to form images in some examples.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2020
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2020/9202654