Title :
Hybrid Adaptive Receive Processing for Multistatic Radar
Author :
Blunt, Shannon D. ; Dower, William ; Gerlach, Karl
Author_Institution :
EECS Dept., Univ. of Kansas, Lawrence, KS
Abstract :
For multiple radars operating within the same spectrum, the resulting mutual interference can severely degrade sensitivity. Recently, the multistatic adaptive pulse compression (MAPC) algorithm has demonstrated the ability to partially suppress multistatic interference to better estimate the illuminated range profiles. This estimation is accomplished by jointly determining, in an MMSE sense, the range cell complex amplitudes associated with each of the received radar waveforms. As the number of received radar signals increases, the residual error after the application of MAPC increases as well. However, instead of jointly estimating all the received signals, one may wish to selectively minimize the residual error for a particular received radar (e.g. the monostatic returns from the co-located transmitter). In this paper, selective error minimization is achieved by utilizing a MAPC-based variant of the CLEAN algorithm. The resulting hybrid CLEAN algorithm is shown to provide significant sensitivity improvement over MAPC alone.
Keywords :
adaptive radar; adaptive signal processing; interference suppression; least mean squares methods; pulse compression; radar signal processing; waveform analysis; CLEAN algorithm; MMSE; hybrid adaptive receive processing; least mean squares methods; multistatic adaptive pulse compression algorithm; multistatic radar; mutual interference suppression; received radar signal waveform; Adaptive filters; Degradation; Diversity reception; Interference cancellation; Interference suppression; Laboratories; Matched filters; Pulse compression methods; Radar scattering; Radio frequency;
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing, 2007. CAMPSAP 2007. 2nd IEEE International Workshop on
Conference_Location :
St. Thomas, VI
Print_ISBN :
978-1-4244-1713-1
Electronic_ISBN :
978-1-4244-1714-8
DOI :
10.1109/CAMSAP.2007.4497951