Compensation method of multiple-channel amplitude and phase errors for MIMO imaging radar
| Autor: | Ruiguo Huo, Weiming Tian, Hongyan Mei, Jingyang Wang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
MIMO radar
radar imaging compensation channel estimation radar transmitters radar resolution radar receivers least squares approximations inferior imaging performance compensation method MIMO imaging radar multiple-input multiple-output radar target detection multiple observation channels transmitters orthogonal signal transmission azimuth resolution enhancement transmit array element structure receive array element structure multiple-channel amplitude error estimation multiple-channel phase error estimation constrained least square method CLS method point target characteristics Engineering (General). Civil engineering (General) TA1-2040 |
| Zdroj: | The Journal of Engineering (2019) |
| Druh dokumentu: | article |
| ISSN: | 2051-3305 |
| DOI: | 10.1049/joe.2019.0056 |
| Popis: | Multiple-input multiple-output (MIMO) radar plays a more and more important role in radar imaging, target detection, and other fields owing to its unique array structure. Transmitting orthogonal signals by different transmitters, a MIMO radar can significantly enhance the azimuth resolution. It forms multiple observation channels from different transmit and receive array elements, achieving an equivalent large aperture in azimuth direction. However, the amplitude and phase errors in each channel are introduced, which will lead to inferior imaging performance of the system, especially in azimuth direction. To solve this problem, a method to estimate the amplitude and phase errors of each channel based on a strong scatterer is proposed here. Peak amplitude of one-dimensional range between channel is estimated using constrained least square (CLS) based on ideal point target characteristics. It proved to be valid by a simulation and an imaging experiment. |
| Databáze: | Directory of Open Access Journals |
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