A Space-Borne SAR Azimuth Multi-Channel Quantization Method
The space-borne synthetic aperture radar (SAR) azimuth multi-channel system has extensive applications because it can achieve high-resolution and wide-swath radar imaging. The thermal noise generated by the radar receiver of each channel during operation will cause an imbalance between channels. If...
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| Format: | Article |
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MDPI AG
2024-03-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/13/6/1102 |
| _version_ | 1797241305053528064 |
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| author | Wei Xu Lu Bai Pingping Huang Weixian Tan Yifan Dong |
| author_facet | Wei Xu Lu Bai Pingping Huang Weixian Tan Yifan Dong |
| author_sort | Wei Xu |
| collection | DOAJ |
| description | The space-borne synthetic aperture radar (SAR) azimuth multi-channel system has extensive applications because it can achieve high-resolution and wide-swath radar imaging. The thermal noise generated by the radar receiver of each channel during operation will cause an imbalance between channels. If the echoes of each channel are quantized with the same number of bits without considering the influence of thermal noise, false targets will appear in the imaging consequences. Considering that the thermal noise generated in the receiver will affect the quantization process of the space-borne SAR azimuth multi-channel system, a new space-borne SAR azimuth multi-channel quantization method is proposed to improve this problem. Firstly, the pure noise power of the receiver is calculated without transmitting the radar signal. The signal power is estimated by subtracting the pure noise power from the total power. Then, the average value of the radar echo signal minus k times the standard deviation is used as the left endpoint of the original data amplitude range, and the average value of the radar echo signal plus k times the standard deviation is used as the right endpoint of the original data amplitude range. The original echo data after adjusting the amplitude range is quantified. This method can effectively reduce the influence of thermal noise and random outliers in the receiver on quantization and suppress the appearance of false targets. Finally, simulation is used to confirm the viability of the suggested quantization approach. |
| first_indexed | 2024-04-24T18:21:12Z |
| format | Article |
| id | doaj.art-538d63f71ec84189992417b6735c9919 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-04-24T18:21:12Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-538d63f71ec84189992417b6735c99192024-03-27T13:34:59ZengMDPI AGElectronics2079-92922024-03-01136110210.3390/electronics13061102A Space-Borne SAR Azimuth Multi-Channel Quantization MethodWei Xu0Lu Bai1Pingping Huang2Weixian Tan3Yifan Dong4College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, ChinaCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, ChinaCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, ChinaCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, ChinaCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, ChinaThe space-borne synthetic aperture radar (SAR) azimuth multi-channel system has extensive applications because it can achieve high-resolution and wide-swath radar imaging. The thermal noise generated by the radar receiver of each channel during operation will cause an imbalance between channels. If the echoes of each channel are quantized with the same number of bits without considering the influence of thermal noise, false targets will appear in the imaging consequences. Considering that the thermal noise generated in the receiver will affect the quantization process of the space-borne SAR azimuth multi-channel system, a new space-borne SAR azimuth multi-channel quantization method is proposed to improve this problem. Firstly, the pure noise power of the receiver is calculated without transmitting the radar signal. The signal power is estimated by subtracting the pure noise power from the total power. Then, the average value of the radar echo signal minus k times the standard deviation is used as the left endpoint of the original data amplitude range, and the average value of the radar echo signal plus k times the standard deviation is used as the right endpoint of the original data amplitude range. The original echo data after adjusting the amplitude range is quantified. This method can effectively reduce the influence of thermal noise and random outliers in the receiver on quantization and suppress the appearance of false targets. Finally, simulation is used to confirm the viability of the suggested quantization approach.https://www.mdpi.com/2079-9292/13/6/1102space-borne SARazimuth multi-channelchannel mismatchthermal noisequantizationfalse target |
| spellingShingle | Wei Xu Lu Bai Pingping Huang Weixian Tan Yifan Dong A Space-Borne SAR Azimuth Multi-Channel Quantization Method Electronics space-borne SAR azimuth multi-channel channel mismatch thermal noise quantization false target |
| title | A Space-Borne SAR Azimuth Multi-Channel Quantization Method |
| title_full | A Space-Borne SAR Azimuth Multi-Channel Quantization Method |
| title_fullStr | A Space-Borne SAR Azimuth Multi-Channel Quantization Method |
| title_full_unstemmed | A Space-Borne SAR Azimuth Multi-Channel Quantization Method |
| title_short | A Space-Borne SAR Azimuth Multi-Channel Quantization Method |
| title_sort | space borne sar azimuth multi channel quantization method |
| topic | space-borne SAR azimuth multi-channel channel mismatch thermal noise quantization false target |
| url | https://www.mdpi.com/2079-9292/13/6/1102 |
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