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Calibration Method of Array Errors for Wideband MIMO Imaging Radar Based on Multiple Prominent Targets.
- Source :
- Remote Sensing; Aug2021, Vol. 13 Issue 15, p2997-2997, 1p
- Publication Year :
- 2021
-
Abstract
- Wideband multiple-input-multiple-output (MIMO) imaging radar can achieve high-resolution imaging with a specific multi-antenna structure. However, its imaging performance is severely affected by the array errors, including the inter-channel errors and the position errors of all the transmitting and receiving elements (TEs/REs). Conventional calibration methods are suitable for the narrow-band signal model, and cannot separate the element position errors from the array errors. This paper proposes a method for estimating and compensating the array errors of wideband MIMO imaging radar based on multiple prominent targets. Firstly, a high-precision target position estimation method is proposed to acquire the prominent targets' positions without other equipment. Secondly, the inter-channel amplitude and delay errors are estimated by solving an equation-constrained least square problem. After this, the element position errors are estimated with the genetic algorithm to eliminate the spatial-variant error phase. Finally, the feasibility and correctness of this method are validated with both simulated and experimental datasets. [ABSTRACT FROM AUTHOR]
- Subjects :
- MIMO radar
CALIBRATION
GENETIC algorithms
LEAST squares
RADAR
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Volume :
- 13
- Issue :
- 15
- Database :
- Complementary Index
- Journal :
- Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 151784451
- Full Text :
- https://doi.org/10.3390/rs13152997