Title :
Synthesis of Finite Length Multi Level Sequences for Clutter Rejection in Radar
Author :
Rosli, Siti Julia Binti ; Ghani, Farid ; Ghani, Alif Hasmani Abd ; Ahmad, Badlishah R.
Author_Institution :
Sch. of Comput. & Commun. Eng., Univ. Malaysia Perlis, Kangar, Malaysia
Abstract :
In radar systems the very low side-lobes that can be achieved with amplitude and phase modulated pulse trains make their use particularly attractive in systems requiring a large dynamic range. Moreover, the excellent self-clutter rejection performance is obtained without sacrificing the ability for the separation of close targets (no main lobe widening). The additional expense of encoding and decoding in amplitude and phase may be justified for radars that must cope with land clutter or operate in a dense-target environment. This paper presents a method for generating finite length multi-level sequences of large lengths that have low side-lobe energy in their autocorrelation function. It is shown that energy ratio of multilevel sequences that have low side lobe energy, is improved through the process of clipping. The proposed method generates sequences with low side lobe energy and large energy ratio of any desired length starting from sequences of smaller length.
Keywords :
amplitude modulation; decoding; encoding; interference suppression; phase modulation; radar clutter; sequences; amplitude modulated pulse trains; autocorrelation function; decoding; dense target environment; dynamic range; encoding; energy ratio; finite length multilevel sequences; land clutter; phase modulated pulse trains; radar clutter; radar systems; self clutter rejection performance; side lobe energy; Clutter; Computers; Correlation; Educational institutions; Filtering theory; Radar clutter; Clutter; Energy Ratio; Radar; Resolution; Sidelobe;
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2012 Fourth International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-1-4673-2640-7
DOI :
10.1109/CICSyN.2012.58