Abstract
Power inversion algorithms (PI) are widely used by ant-jamming receivers in harsh environment, but it also induces pseudo-range measurement error which is fatal to high precision receivers. In this paper, it proposes a more accurate method based on the S Curve Bias (SCB) to evaluate the pseudo-range bias which can actually affect the positioning results, as it excludes a fixed time delay contained in the directly differing method. When using this method to assess the bias, it is found that pseudo-range errors can be influenced by many factors including the type of interference. Simulation as well as experiment based on a 4-element array antenna are designed and carried out. The simulation has shown that both SOP-PI and STAP-PI will bring bias to pseudo-range measurement. Specifically, the maximum bias caused by SOP-PI is 1m while the bias caused by STAP-PI is up to 10m. Moreover, comparing to the method which directly differs the pseudo-range of output signal and the reference signal, the method proposed in this paper has better performance. Furthermore, the experimental results verify the effectiveness of the proposed evaluating method.
Highlights
G LOBAL Navigation Satellite System (GNSS) is widely used in almost all infrastructure, livelihood facilities for navigation, positioning, and timing
Many classical space-time adaptive processing (STAP) algorithms have been extensively applied to antenna arrays [2], for instance, the least mean square (LMS) adaptive filter algorithm (Widrow et al.), Maximum Signal-to-Interferenceplus-Noise Ratio (MSINR) adaptive filter algorithm (Applebaum et al.), Power-inversion (PI) adaptive filter algorithm and et cetera
SUMMARY AND CONCLUSIONS This paper proposes a method to assess the pseudo-range bias, comparing to the method which directly appraises the bias by differing the pseudo-range, the method proposed in this paper seems more accurate to evaluate the pseudo-range bias that can affect the positioning, as the result of the proposed method does not contain a fixed time delay, and the accuracy of the proposed method is not related to the noise disturbance and the sampling rate
Summary
G LOBAL Navigation Satellite System (GNSS) is widely used in almost all infrastructure, livelihood facilities for navigation, positioning, and timing. Weakness of signal makes receivers susceptible to external interference, especially radio-frequency interference (RFI) signal, which has been universally accepted as a real threat to GNSS applications. Countermeasures must to be adopted to ensure the robustness and reliability of navigation system. Among all alternative solutions of anti-jammer, devices equipped with the adaptive antenna architecture are considered most effective, for the high-grade receivers with high demands of reliability and robustness [1]. Many classical space-time adaptive processing (STAP) algorithms have been extensively applied to antenna arrays [2], for instance, the least mean square (LMS) adaptive filter algorithm (Widrow et al.), Maximum Signal-to-Interferenceplus-Noise Ratio (MSINR) adaptive filter algorithm (Applebaum et al.), Power-inversion (PI) adaptive filter algorithm and et cetera. Instead of requiring an estimation to the direction of arrival (DOA) [3], PI has simple structure and broad application scenario, so it is applied frequently
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