Non-uniformity Detection Method Based on Space-Time Autoregressive
The inhomogeneous phenomena of nonhomogeneity of clutter power, interference target and isolated interference are always coexisting in the real environment of airborne radar. Therefore research on new inhomogeneous detection methods applied to the case of coexisting several inhomogeneous phenomena has become an important subject in the field of research on radar signal detection technology. The new combined space-time autoregressive (STAR) algorithm is proposed for suppressing all three kinds of inhomogeneous phenomena, while the existing STAR algorithms have no capacity, and the proposed algorithm can suppress all three kinds of inhomogeneous phenomena effectively that is indicated in the results of simulation. The simulation results show the effectiveness of the proposed algorithm.
KeywordsRadar Inhomogeneous environment Space-time autoregressive (STAR) Pulse-dimensional data
- 5.Swindlehurst, A. L., & Parker, P. (2000). Parametric clutter rejection for space-time adaptive processing. In Proceedings of the ASAP Workshop. Lexington: MIT Lincoln Lab.Google Scholar
- 13.Shen, M. (2008). Research on moving target detection technology for heteroscedastic beam space-time processing. Nanjing University of Aeronautics and Astronautics Doctoral Dissertation.Google Scholar
- 14.Russ, J. A., Casbeer, D. W., & Swindlehurst, A. L. (2004). STAP detection using space-time autoregressive filtering. In Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No. 04CH37509) (pp. 541–545). IEEE.Google Scholar
- 15.Wu, B. (2007). Research on STAP technology of phased array airborne radar in heterogeneous clutter environment. National University of Defense Technology Doctoral Dissertation.Google Scholar