Title :
Fast clutter cancellation for noise radars via waveform design
Author_Institution :
Dept. of Autom. Control Fac. of Electron., Gdansk Univ. of Technol., Gdansk, Poland
Abstract :
Canceling clutter is an important, but very expensive part of signal processing in noise radars. It is shown that considerable improvements can be made to a simple least squares (LS) canceler if minor constraints are imposed onto noise waveform. Using a combination of field programmable gate array (FPGA) and CPU, the proposed scheme is capable of canceling both stationary clutter and moving targets in real time, even for high sampling rates.
Keywords :
field programmable gate arrays; least squares approximations; radar clutter; radar signal processing; CPU; FPGA; fast clutter cancellation; field programmable gate array; least squares canceler; noise radars; signal processing; waveform design; Clutter; Field programmable gate arrays; Least squares approximations; Noise measurement; Radar; Real-time systems; Signal processing algorithms;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2013.120758