Abstract

Radio frequency interference (RFI) poses a severe problem for conventional GNSS receivers. Even low powered RFI can block the reception of satellite signals and prevent a position determination. Antenna array systems have been proven suitable to counteract RFI by incorporating spatial processing techniques. The large size of uniform rectangular arrays (URA) with half-wave antenna spacing impedes an installation in cars intended for the consumer mass market, where a hidden installation is a strict requirement by industry and customers. This paper introduces a new approach, where a conventional URA is split into distributed linear subarrays with the aim to reduce their footprint but to maintain the possibility of spatial processing. The achievable gain in robustness against RFI is evaluated. Drawbacks in terms of manifold ambiguities and their consequences for spatial processing techniques are also discussed. Furthermore, the accuracy of positioning results derived from a field test is put into context with a single antenna receiver.

Highlights

  • Global navigation satellite systems (GNSS) play a crucial role in our daily routine, as they provide access to the only globally available system to determine an absolute position

  • This paper demonstrated a new array design consisting of a minimum of two distributed linear subarrays

  • As the installation height is rather low, initial measurements of the attenuation through the metallic car body were presented for an exemplary array consisting of four distributed linear subarrays, each containing two antenna elements, which are mounted to the corners of a passenger car

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Summary

INTRODUCTION

Global navigation satellite systems (GNSS) play a crucial role in our daily routine, as they provide access to the only globally available system to determine an absolute position. Their impact is demonstrated for the example of interference mitigation of the receiver, and the consequences for the satellite signal processing are discussed. The benefit of the proposed solution to deliver a global position even in heavily interfered environments is demonstrated

SIGNAL MODEL
Spatial signal processing
Pre-correlation beamforming
Post-correlation beamforming
ARRAY DESIGN
Rank-one ambiguities
Higher-rank ambiguities
PROPOSED CONFIGURATION OF ANTENNA ARRAYS
CONSEQUENCES OF PLATFORM ROTATIONS ON BEAMFORMING C A PA BILITIES
EXPERIMENTAL VALIDATION OF POSITIONING ACCURACY
CONCLUSION

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