2004 IEEE Radar Conference

Innovative Radar Technologies - Expanding System Capabilities

 
 
 April 26-29, 2004 Wyndham Philadelphia at Franklin Plaza Philadelphia, Pennsylvania
 
 
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Session 5B.4
Adaptive pulse compression

Shannon D. Blunt - Naval Research Laboratory, Karl Gerlach - Naval Research Laboratory

Wed, 28 April 2004, 8:00 AM - 9:30 AM


Abstract

Pulse compression is essentially an estimation procedure in which the complex amplitude for a given range cell is to be estimated while mitigating the interference from neighboring range cells that results from the convolution of the transmitted waveform with the range swath of interest. Traditionally, matched filtering is employed to estimate the range returns whereby the neighboring range cells are suppressed by a fixed amount that is dictated by the range sidelobes of the matched filter. However, matched filtering is a misnomer in that the receive filter is matched only to the transmitted waveform and not to the actual received signal. This paper extends the previously proposed Reiterative Minimum Mean-Square Error (RMMSE) algorithm for adaptive pulse compression whereby the true matched filter for each individual range cell is estimated based upon the actual received signal resulting in range sidelobes that are adaptively suppressed to the level of the noise floor. The convergence of the RMMSE algorithm is addressed along with the doppler tolerance.

Bio

Dr. Shannon D. Blunt - Naval Research Laboratory

Dr. Shannon Blunt is with the Naval Research Laboratory, Washington, DC. He received the Ph.D. degrees in electrical engineering in 2002 from the University of Missouri. His research interests are in adaptive signal processing for radar and communications. He is a member of Eta Kappa Nu and Tau Beta Pi.

 
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