AI Article Synopsis
- Research focuses on imaging fast-moving targets using array antennas, which simplifies motion compensation compared to ISAR but increases hardware complexity.
- A new approach introduces a wideband MIMO radar system with two distributed arrays to reduce this complexity while improving the imaging process.
- The paper presents the system model, imaging procedure, and supports findings with numerical simulations demonstrating the advantages over traditional RAR systems.
Article Abstract
Imaging a fast maneuvering target has been an active research area in past decades. Usually, an array antenna with multiple elements is implemented to avoid the motion compensations involved in the inverse synthetic aperture radar (ISAR) imaging. Nevertheless, there is a price dilemma due to the high level of hardware complexity compared to complex algorithm implemented in the ISAR imaging system with only one antenna. In this paper, a wideband multiple-input multiple-output (MIMO) radar system with two distributed arrays is proposed to reduce the hardware complexity of the system. Furthermore, the system model, the equivalent array production method and the imaging procedure are presented. As compared with the classical real aperture radar (RAR) imaging system, there is a very important contribution in our method that the lower hardware complexity can be involved in the imaging system since many additive virtual array elements can be obtained. Numerical simulations are provided for testing our system and imaging method.
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| http://dx.doi.org/10.1109/TIP.2009.2039623 | DOI Listing |
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