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This paper shows how the signal model that is commonly used as a starting point in multi-channel space time adaptive processing (STAP) for airborne moving target indication (MTI) formally corresponds to a model that can be derived from a bi-static synthetic aperture radar (SAR) model extended for multiple channels. With the help of this generalisation one arrives at an operation that can be performed...
The purpose of this paper is to propose a new way to detect victims buried in or under layers of rubble or debris in case of disasters such as earthquakes, fires or terrorist attacks. The method is based on Fourier processing and principal component analysis (PCA). It utilizes a moving array of sensors arranged in the line of motion. It combines the speed and robustness of Fourier-based processing...
A new and fast algorithm for MTI/MTD processing is presented. This algorithm is based on a formation of SAR images from each channel and using these for separation between moving and stationary targets. First, the problem is described by means of a generalized model. Then, an inverse problem is formulated and some of its approximate solutions by means of the Fourier transform are given. The approximate...
This paper outlines a solution to the multi-channel synthetic aperture radar (SAR) moving target indication and detection (MTI/MTD) by means of inverse systems approach. A novel model of the problem is presented and an approximate analytic solution to it will be given. It will be demonstrated how a moving target indicator can benefit from a multichannel SAR system as opposed to a traditional approach...
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