Title :
A novel adaptive phase-only beamforming algorithm based on semidefinite relaxation
Author :
Cheng-jun Lu ; Wei-Xing Sheng ; Yu-Bing Han ; Xiao-Feng Ma
Author_Institution :
Sch. of Electron. & Opt. Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
The adaptive phase-only beamforming technique is very important for conventional phased array radar to suppress interference. Similar to conventional phased array radar, for the digital array radar, the adaptive phase-only beamforming technique is also very useful and can be used to enhance the radar power by making full use of transmit module microwave power of each array element. In this paper, a phase-only algorithm based on semidefinite relaxation is proposed. It can suppress interference by minimizing the array output power and maintain the desired signal without distortion. The phase-only weighting is converted to a non-convex quadratic optimization problem, then to a convex optimization problem by the semidefinite relaxation (SDR) technique which can be solved easily. The experimental results demonstrate the correctness and effectiveness of the proposed approach.
Keywords :
array signal processing; concave programming; convex programming; interference suppression; phased array radar; radar transmitters; relaxation theory; SDR technique; adaptive phase-only beamforming algorithm; convex optimization problem; digital phased array radar; interference suppression; nonconvex quadratic optimization problem; phase-only weighting; radar power enhancement; semidefinite relaxation technique; transmit module microwave power; Antennas; Arrays; Interference; Optimization; Signal to noise ratio; Vectors; array signal processing; convex optimization; digital beamforming; phase-only weighting; semidefinite relaxation;
Conference_Titel :
Phased Array Systems & Technology, 2013 IEEE International Symposium on
Conference_Location :
Waltham, MA
DOI :
10.1109/ARRAY.2013.6731901