Title :
Multicomponent receiver architectures for GPS interference suppression
Author :
Hwang, Suk-seung ; Shynk, John J.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
fDate :
4/1/2006 12:00:00 AM
Abstract :
The global positioning system (GPS) is a one-way satellite-based navigation system employing spread-spectrum techniques that is widely used for commercial and military applications. Although the very low signal-to-noise ratio (SNR) is handled by the large spreading gain, GPS is susceptible to high-power interference signals and various types of jammers. We propose multicomponent receiver architectures for GPS interference suppression. A conventional antenna system is first considered which utilizes a minimum-variance distortionless-response (MVDR) beam former and assumes that the GPS signal angle of arrival (AOA) and the antenna model are known at the receiver. However, this receiver is sensitive to AOA estimation errors and can have a high computational complexity. This sensitivity problem is eliminated by a multicomponent system based on a multistage matched filter (MF). Since this MF receiver also has a high computational complexity because the jammer AOAs must be estimated, we introduce a blind interference canceler based on the constant modulus (CM) array that is insensitive to AOA estimation errors and has a low computational complexity. Computer simulations are provided to illustrate the performance of the various systems for interference suppression in example signal scenarios.
Keywords :
Global Positioning System; computational complexity; direction-of-arrival estimation; interference suppression; receivers; AOA estimation errors; GPS; MF receiver; MVDR beam former; angle of arrival; computational complexity; computer simulation; conventional antenna system; global positioning system; interference suppression; jammer; minimum-variance distortionless-response beam former; multicomponent receiver; multistage matched filter receiver; satellite-based navigation system; spread-spectrum techniques; Computational complexity; Distortion; Estimation error; Global Positioning System; Interference suppression; Jamming; Receiving antennas; Satellite navigation systems; Signal to noise ratio; Spread spectrum communication;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2006.1642566