Abstract
Bistatic pulse-Doppler airborne radar has desirable properties such as the low probability of detection by other radars relative to its monostatic counterpart. However, the clutter characteristics of bistatic airborne radar are more complex than those of monostatic airborne radar. The clutter spectra not only vary severely with range, but also vary with bistatic configuration. In this article, the geometry model of bistatic airborne radar is given, and the approximate estimation expressions for clutter degrees of freedom (DOFs) are presented. Then a novel clutter suppression method for bistatic airborne radar with range ambiguity is presented. The method completes registration-based range ambiguity clutter compensation based on non-uniform sampling and the estimated clutter DOFs. The simulation results illustrate the performance improvement achieved for bistatic airborne radar.
Highlights
Bistatic radar uses antennas at separate sites for transmission and reception, and it has been designed, developed, tested, and in some cases, deployed for military, commercial, and scientific applications
A novel clutter suppression method for bistatic airborne radar with range ambiguity is presented, and it completes registration-based compensation based on non-uniform sampling (RBCNS) and the estimated clutter degrees of freedom (DOFs); the ultimate clutter suppression performance is improved
The RBCNS method consists of four steps: (1) clutter ridges of various ambiguous ranges at all training cell are determined according to the corresponding angle-Doppler curves using the system parameters of bistatic airborne radar
Summary
Bistatic radar uses antennas at separate sites for transmission and reception, and it has been designed, developed, tested, and in some cases, deployed for military, commercial, and scientific applications. A novel clutter suppression method for bistatic airborne radar with range ambiguity is presented, and it completes registration-based compensation based on non-uniform sampling (RBCNS) and the estimated clutter degrees of freedom (DOFs); the ultimate clutter suppression performance is improved .
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