Clutter Suppression For Forward-looking Missile-borne Radar And Hardware Impementation

Missile can not target precisely without seeker. When attacking ground and low airtargets, the missile-borne radar will face strong ground clutter and interference. Theinterference is always stronger than the desired echoes, the target signal is submergedby clutter and interference, conventional techniques utilized only one-dimensionalfiltering cannot suppress clutter and interference effectively, so target detection cannotbe realized. Space Time Adaptive Processing (STAP), combining the degree of freedomfrom space and time domains, suppresses clutter and interference by a space-time jointadaptive approach, so it can suppress clutter effectively.Compared with Air EarlyWarning(AEW) radar, missile-borne radar has the characteristics of high speed,smallpace and non-uniform motion,the method of STAP used in AEW is not work inmissile-borne radar. In consideration of high computational cost and the large trainingsample data required by STAP,the application of STAP for missile-borne radar is veryhard. the main work of this thesis can be summarized as follows:1. The characteristic of clutter environment for forward-looking radar is analyzed,and the differences of the clutter spectrum between forward-looking and side-lookingare studied. Clutter of forward-looking missile-borne diving radar is also studied.2. The methods of full-rank STAP and reduced-rank STAP are introduced, theSTAP method which realized at the sub-array level is proposed according to theproperities of missile-borne radar and their clutter suppressing performances areinvestigated.3. Based on multi-DSPs system, an engineering implementation model of STAP ispresented. It is a local parallel and global serial method. The analysis of thecomputational cost shows that this method meets the engineering requirements.