Polarimetric MIMO radar target detection based on glowworm swarm optimization algorithm

Author

Hong Jiang ; Xiaohui Tang

Author_Institution

Coll. of Commun. Eng., Jilin Univ., Changchun, China

fYear

2014

fDate

4-9 May 2014

Firstpage

805

Lastpage

809

Abstract

Arbitrary transmit polarization waveforms are permitted to match the scattering properties of the target for polarimetric multiple-input multiple-output (MIMO) radar systems in order to improve the detection performance. In this paper, a polarization optimization method based on glowworm swarm optimization (GSO) algorithm is proposed to select the polarization waveforms of the transmit array to maximize detection probability. The signal model of polarimetric MIMO radar is described. A Neyman-Pearson criterion based detector is designed, and the closed expression of false alarm probability and detection probability in Gaussian clutter is elicited. Then, polarization waveform design based on GSO algorithm is presented. The algorithm performance is analyzed by simulation, and the detection probability for the solution of GSO is compared with other several transmit polarization schemes.

Keywords

Gaussian processes; MIMO radar; array signal processing; electromagnetic wave polarisation; electromagnetic wave scattering; object detection; particle swarm optimisation; probability; radar clutter; radar detection; radar polarimetry; waveform analysis; GSO algorithm; Gaussian clutter; Neyman-Pearson criterion based detector; arbitrary transmit polarization waveform; detection probability maximization; false alarm probability; glow worm swarm optimization algorithm; multiple input multiple output; polarimetric MIMO radar target detection; polarization optimization method; scattering property matching; signal model; transmit array; Algorithm design and analysis; Clutter; MIMO radar; Particle swarm optimization; Radar antennas; Signal processing algorithms; Transmitting antennas; Polarimetric MIMO radar; glowworm swarm optimization; polarization waveform design; target detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on

Conference_Location

Florence

Type

conf

DOI

10.1109/ICASSP.2014.6853708

Filename

6853708