Introduction to Mimo Sar

What is/are Mimo Sar?

Mimo Sar - Autofocusing is critically important for forward-looking MIMO SAR imaging, since the radar position errors due to the limited precision of navigation systems can severely degrade the imaging quality. ^[1] To address this problem, we introduce a two-step fast hybrid imaging algorithm, referred to as FHybrid, to enhance the computational efficiency of the conventional BP algorithm for 3-D MIMO SAR imaging. ^[2] However, it is sensitive to time-variant measurement errors of curved track and time-variant attitude angles, meaning that autofocus processing for the LA-MIMO SAR tomography is necessary. ^[3] Waveform designing becomes one of the most significant tasks in the MIMO SAR system. ^[4] The gated LFMCW TDMA MIMO SAR is configured with multiple transmitting antennas and multiple receiving antennas. ^[5] MIMO SAR, a new type of SAR imaging system, is an effective way to solve the problem of HRWS (high-resolution and wide-swath). ^[6] As one of the emerging imaging sensors, multiple-input and multiple-output synthetic aperture radar (MIMO SAR) could provide more benefits for wide-swath imaging, ground moving target indication (GMTI) and three-dimensional imaging, thus making it a great threat for high value targets. ^[7] The generalised ambiguity function (GAF) of distributed MIMO SAR is analysed. ^[8] Improvement in resolution and image quality is demonstrated in both cases using numerical simulations that model an airborne MIMO SAR system at microwave frequencies. ^[9]

mimo sar system

Waveform designing becomes one of the most significant tasks in the MIMO SAR system. ^[1] Improvement in resolution and image quality is demonstrated in both cases using numerical simulations that model an airborne MIMO SAR system at microwave frequencies. ^[2]

mimo sar imaging

Autofocusing is critically important for forward-looking MIMO SAR imaging, since the radar position errors due to the limited precision of navigation systems can severely degrade the imaging quality. ^[1] To address this problem, we introduce a two-step fast hybrid imaging algorithm, referred to as FHybrid, to enhance the computational efficiency of the conventional BP algorithm for 3-D MIMO SAR imaging. ^[2]