Title :
Phase-stability detection of stationary targets
Author_Institution :
MIT Lincoln Lab., Lexington, MA, USA
Abstract :
The SAR (synthetic aperture radar) detection of stationary targets hidden in highly cluttered environments by using phase stability is studied. The theoretical performance of such a detection scheme is evaluated using simplified target and clutter models. Detection is based on a model where targets contain a concentration of phase-stable scatterers, and clutter is made up of phase-unstable scatterers. The proposed algorithm involves the transmission of three equally spaced frequencies. Each pixel is characterized by its observed stability, a linear combination of the phase shifts at each of the three frequencies, whose weights are +1, -2, +1, respectively. A mask is a collection of pixels chosen to match the possible geometry of a target. The observed stability of a mask is the weighted average of the squares of the observed stability of the pixels it contains
Keywords :
radar clutter; radar cross-sections; signal detection; stability; SAR detection; SNR; algorithm; clutter models; detection statistics; phase shifts; phase stability detection; phase-stable scatterers; phase-unstable scatterers; radar clutter; radar cross-sections; stationary targets; synthetic aperture radar; Backscatter; Clutter; Electromagnetic radiation; Electromagnetic scattering; Frequency; Phase detection; Phase noise; Radar detection; Radar scattering; Testing;
Conference_Titel :
Radar Conference, 1990., Record of the IEEE 1990 International
Conference_Location :
Arlington, VA
DOI :
10.1109/RADAR.1990.201089