Compensation method of multiple‐channel amplitude and phase errors for MIMO imaging radar

Autor: Jingyang Wang, Hongyan Mei, Ruiguo Huo, Weiming Tian
Rok vydání: 2019
Předmět:
MIMO radar
radar receivers
inferior imaging performance
Acoustics
radar resolution
MIMO
Phase (waves)
multiple observation channels
Energy Engineering and Power Technology
02 engineering and technology
least squares approximations
multiple-channel phase error estimation
law.invention
compensation
transmit array element structure
MIMO imaging radar
radar transmitters
compensation method
CLS method
law
Radar imaging
0202 electrical engineering
electronic engineering
information engineering
Array data structure
Radar
multiple-channel amplitude error estimation
constrained least square method
point target characteristics
Computer Science::Information Theory
Physics
target detection
020208 electrical & electronic engineering
channel estimation
General Engineering
020206 networking & telecommunications
radar imaging
Azimuth
Amplitude
transmitters
receive array element structure
multiple-input multiple-output radar
lcsh:TA1-2040
azimuth resolution enhancement
orthogonal signal transmission
lcsh:Engineering (General). Civil engineering (General)
Software
Communication channel
Zdroj: The Journal of Engineering (2019)
ISSN: 2051-3305
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: OpenAIRE
Externí odkaz: