Three-Dimensional Imaging Method for Array ISAR Based on Sparse Bayesian Inference
Abstract
:1. Introduction
2. 3D Imaging Model of the Array ISAR System
3. Array ISAR Three-Dimensional Imaging Method Based on SBI
3.1. Model Order Selection Based on Elastic Net Regression
3.2. 3D Reconstruction Based on Sparse Bayesian Inference
3.2.1. Elevation Reconstruction Model with Off-Grid Mismatch
3.2.2. 3D Reconstruction Algorithm Based on SBI
3.2.3. Bayesian Cramér-Rao Lower Bound for Proposed Method
4. Experimental Results
4.1. Array ISAR System Configuration and Model Selection
4.2. Performance Analysis with Simulations
4.3. 3D Reconstruction Results Based on Measured Data
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Parameter | Symbol | Value |
---|---|---|
Carrier frequency | fc | 15 GHz |
Bandwidth | Bw | 500 MHz |
Pulse repetition frequency | PRF | 1 KHz |
Velocity of plane | v | 63.5 m/s |
Reference range | Rref | 836.4 m |
Number of APCs | P | 8 |
Maximum baseline | 1.31 m |
Zero-Order | 1st Order | 2nd Order | 3rd Order | 4th Order | 5th Order | |
---|---|---|---|---|---|---|
P*SNR | −10.091 | 1.0498 | 0.099758 | −0.011345 | 2.8687 × 10−4 | 0 |
Phase error | 25.083 | −14.242 | 3.797 | −0.17337 | −0.097998 | 0.012569 |
Amplitude error | 31.017 | −35.754 | 13.942 | −0.55709 | −0.71587 | 0.10677 |
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Jiao, Z.; Ding, C.; Chen, L.; Zhang, F. Three-Dimensional Imaging Method for Array ISAR Based on Sparse Bayesian Inference. Sensors 2018, 18, 3563. https://doi.org/10.3390/s18103563
Jiao Z, Ding C, Chen L, Zhang F. Three-Dimensional Imaging Method for Array ISAR Based on Sparse Bayesian Inference. Sensors. 2018; 18(10):3563. https://doi.org/10.3390/s18103563
Chicago/Turabian StyleJiao, Zekun, Chibiao Ding, Longyong Chen, and Fubo Zhang. 2018. "Three-Dimensional Imaging Method for Array ISAR Based on Sparse Bayesian Inference" Sensors 18, no. 10: 3563. https://doi.org/10.3390/s18103563