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access icon free Distortionless space-time adaptive processor based on MVDR beamformer for GNSS receiver

© The Institution of Engineering and Technology
Received 20/04/2017, Accepted 15/06/2017, Revised 09/06/2017, Published 19/06/2017

The utilising of space-time adaptive processing (STAP) can effectively enhance the globe navigation satellite system (GNSS) receivers’ performance in suppressing harsh, sustained interference. However, STAP may introduce significant biases and distortions on the cross-correlation functions, which would deteriorate acquisition and tracking performance. To achieve high-accuracy GNSS applications in challenging environments, these biases and distortions must be mitigated. A novel distortionless space-time adaptive processor based on minimum variance disstortionless response (MVDR) beamformer is proposed. By combining the information of steering vector and constraining the taps number of tapped delay line to be odd, the proposed processor can maintain the linearity of space-time filter response and it introduces no biases into the code and carrier phase measurements. The effectiveness of the proposed processor is demonstrated by theoretical analysis and simulations.

Inspec keywords: radio receivers; satellite navigation; correlation methods; array signal processing; filtering theory; interference suppression; space-time adaptive processing; satellite tracking

Other keywords: STAP; tracking performance; space-time filter response linearity; sustained interference suppression; harsh interference suppression; steering vector information; minimum variance disstortionless response beamformer; cross-correlation function distortions; GNSS receiver; MVDR beamformer; high-accuracy GNSS applications; globe navigation satellite system receiver performance; carrier phase measurements; tapped delay line; acquisition performance; distortionless space-time adaptive processor

Subjects: Filtering methods in signal processing; Electromagnetic compatibility and interference; Satellite communication systems; Radionavigation and direction finding

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