A Three-Dimensional Enhanced Imaging Method on Human Body for Ultra-Wideband Multiple-Input Multiple-Output Radar
Abstract
:1. Introduction
2. MIMO Radar Imaging Model
3. Enhanced Imaging Method
3.1. PSF Model
3.2. TV Regularization Method Based on LR Algorithm
3.3. Mechanism of Algorithm Evaluation
4. Experiment
4.1. Simulation Experiment
4.2. Real Data Measurement Experiment
4.3. The Proposed Algorithm in Complicated Scenario
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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LRTV Algorithm | |
---|---|
Input: | Degraded image & iterative initial value |
PSF | |
White Gaussian noise | |
k | Number of iterations |
TV regularized coefficient | |
Output: | Solution of enhanced iterative equation |
Begin | |
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| |
| |
| |
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| |
| |
| |
End |
Parameter | Value |
---|---|
Center frequency | 1.96 GHz |
Stepped-frequency | 4 MHz |
Bandwidth | 600 MHz |
Transmitting terminal | 10 |
Receiving terminal | 10 |
Hands Prolapse | Shoulder Abduction | Hands Held | |
---|---|---|---|
3.2972 | 3.2540 | 3.2365 | |
3.1784 | 3.1413 | 2.9540 | |
3.0956 | 3.0741 | 2.9326 | |
2.9564 | 2.9113 | 2.8978 | |
2.8839 | 2.8774 | 2.6593 | |
2.8115 | 2.8029 | 2.5649 | |
2.7853 | 2.7412 | 2.4231 | |
0.3652 | 0.3149 | 0.3497 | |
0.3991 | 0.3628 | 0.3965 | |
0.4215 | 0.4119 | 0.4265 | |
0.4694 | 0.4690 | 0.4473 | |
0.4789 | 0.4857 | 0.4613 | |
0.4830 | 0.4984 | 0.4878 |
Hands Prolapse | Shoulder Abduction | Hands Held | |
---|---|---|---|
0.5648 | 0.5479 | 0.5218 | |
0.6258 | 0.6149 | 0.6356 | |
0.6324 | 0.6415 | 0.6578 | |
0.7845 | 0.7941 | 0.7459 | |
0.8025 | 0.8147 | 0.7614 | |
0.8546 | 0.8415 | 0.7889 |
Hands Prolapse | Shoulder Abduction | Hands Held | |
---|---|---|---|
4.5023 | 4.4047 | 4.5085 | |
3.3146 | 3.9850 | 3.6108 | |
3.2956 | 3.9665 | 3.5471 | |
3.2549 | 3.9317 | 3.2996 | |
3.2472 | 3.9272 | 3.0033 | |
3.2069 | 3.8497 | 2.9413 | |
3.1689 | 3.6548 | 2.8794 | |
0.4789 | 0.5412 | 0.4895 | |
0.4978 | 0.5149 | 0.4978 | |
0.5211 | 0.8979 | 0.5217 | |
0.5735 | 0.6110 | 0.5712 | |
0.5793 | 0.6148 | 0.5959 | |
0.5858 | 0.6261 | 0.6583 |
Hands Prolapse | Shoulder Abduction | Hands Held | |
---|---|---|---|
0.4156 | 0.4529 | 0.4781 | |
0.4914 | 0.4732 | 0.4963 | |
0.5248 | 0.5489 | 0.5367 | |
0.6514 | 0.6317 | 0.6849 | |
0.7569 | 0.6954 | 0.6958 | |
0.7694 | 0.7258 | 0.7157 |
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Zhao, D.; Jin, T.; Dai, Y.; Song, Y.; Su, X. A Three-Dimensional Enhanced Imaging Method on Human Body for Ultra-Wideband Multiple-Input Multiple-Output Radar. Electronics 2018, 7, 101. https://doi.org/10.3390/electronics7070101
Zhao D, Jin T, Dai Y, Song Y, Su X. A Three-Dimensional Enhanced Imaging Method on Human Body for Ultra-Wideband Multiple-Input Multiple-Output Radar. Electronics. 2018; 7(7):101. https://doi.org/10.3390/electronics7070101
Chicago/Turabian StyleZhao, Dizhi, Tian Jin, Yongpeng Dai, Yongping Song, and Xiangchenyang Su. 2018. "A Three-Dimensional Enhanced Imaging Method on Human Body for Ultra-Wideband Multiple-Input Multiple-Output Radar" Electronics 7, no. 7: 101. https://doi.org/10.3390/electronics7070101