Two-dimensional imaging via a narrowband MIMO radar system with two perpendicular linear arrays

Area of Science:

• Radar Systems Engineering
• Signal Processing
• Electromagnetics

Background:

• Inverse Synthetic Aperture Radar (ISAR) imaging typically requires complex motion compensation and range alignment.
• Traditional methods involve spatial sequential sampling over multiple illuminations, limiting imaging speed.
• Narrowband radar systems offer potential for efficient imaging applications.

Purpose of the Study:

• To propose a novel 2-D imaging system model and method using a narrowband multiple-input multiple-output (MIMO) radar.
• To develop an imaging formulation based on Fourier integral processing.
• To analyze antenna array parameters and optimize imaging performance.

Main Methods:

• Utilizing a MIMO radar system with two perpendicular linear arrays.
• Employing a spatial parallel sampling procedure within a single snapshot illumination.
• Implementing Fourier integral processing for imaging formulation.
• Using multiple narrowband spectrum-shared waveforms coded with orthogonal polyphase sequences.

Main Results:

• The proposed method avoids complex motion compensation required in ISAR imaging.
• Range alignment is unnecessary due to the array configuration and waveform design.
• The system enables efficient 2-D imaging with simplified processing.
• Numerical simulations validate the effectiveness of the proposed imaging method.

Conclusions:

• The developed narrowband MIMO radar imaging method offers a significant advancement over traditional ISAR techniques.
• The system's ability to perform spatial parallel sampling and avoid complex compensation steps enhances imaging efficiency.
• This approach provides a viable solution for high-resolution 2-D radar imaging applications.