The Ground Moving Target Detection Of Battlefield Reconnaissance Radar

The most difficult problem in Ground Moving Target Detection (GMTD/GMTI) is as follows. 1)The ground clutter is very strong when radar works in its down-look mode. 2) The clutter has thecharacter of space-time coupling and the clutter spectrum spreads due to the movement of platform.3) The lower repeat frequency results in Doppler blur and the clutter spectrum spreads in the wholeDoppler domain. This dissertation mainly discusses GMTI based on real multi-channel data, which uses two ormore sub-apertures. We make Doppler Beam Sharpening (DBS) for the receive signal of everysub-aperture, then make difference image. Firstly, The study of real two-channel data recorded bythe airborne battlefield radar is made based on the methods of GMTI, which including the study ofmethods of two-channel equilibrium, that of the precious estimate of beam scanning angle, that ofthe Doppler center, that of the compensation for pattern error and that of GMTI and that of locationof the moving target using the phase-comparison mono-pulse method. Then the study ofMulti-Channel Airborne Radar Measurements (MCARM) data is made based on the character ofMCARM data. We mainly discuss the methods of GMTI, location, and the measure of velocity, thedecrease of false alarm probability and the compensation for phase error. Furthermore, theprocessing results of MCARM are given, which proves that these methods above are effective. The using of DBS into the GMTI mode of battlefield awareness radar adopting beam scanningmay get the ground scene image at large area, at the same time, making GMTI and marking themoving target on scene image. DBS is a kind of technique which improves the resolution of airborneradar. To the problem of the across moving range bin in high squint DBS, a kind of compensatingtechnique is proposed to improve the resolution of high squint DBS. The kernel of this method is theemendation of the across moving range bin, which combines the emendation and the rangecompression. It multiplies a gene with liner phase relating to the number of pulse by the frequencyregion reference function of range compression. The results of simulation and that of processingshow that it can improve the resolution of high squint DBS and its computational load is low. As aresult, it is an effective method.