Title :
Joint space-time interpolation for bistatic STAP
Author :
Varadarajan, Vijay ; Krolik, Jeffrey
Author_Institution :
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
Abstract :
We present a novel interpolation technique to improve the small sample support performance of airborne radar space-time adaptive processing (STAP) using bistatic configurations. Bistatic airborne radar operation increases the clutter rank and causes it to be inhomogeneous with range, resulting in the degradation of the output signal to interference plus noise ratio (SINR). Brennan\´s rule for the space-time clutter covariance matrix rank for monostatic STAP is extended to the bistatic case, which motivates the development of a space-time interpolation (STINT) technique for bistatic clutter compensation. More specifically, we design a linear transformation which maps the bistatic clutter to that which would be received under "virtual" monostatic conditions. Simulation results indicate up to 10 dB SINR improvement can be obtained using STINT with limited sample support.
Keywords :
airborne radar; covariance matrices; filters; interpolation; least mean squares methods; radar clutter; radar signal processing; radiofrequency interference; space-time adaptive processing; airborne radar; bistatic STAP; covariance matrix; interpolation filters; minimum mean square error; signal to interference plus noise ratio; space-time adaptive processing; space-time clutter; space-time interpolation; space-time interpolation technique; Airborne radar; Clutter; Covariance matrix; Degradation; Frequency; Interference; Interpolation; Signal to noise ratio; Training data; Transmitters;
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
Print_ISBN :
0-7803-8104-1
DOI :
10.1109/ACSSC.2003.1291866