Abstract
Radio frequency interference has become a rising problem to the signal of the Global Navigation Satellite System (GNSS). An effective way to achieve anti-jamming is by using an antenna array in GNSS signal processing. However, antenna array processing will cause a decline in the accuracy of pseudo-range measurements because of the channel mismatch and some other non-ideal factors. To solve this problem, space–time or space–frequency adaptive array processing is widely used for interference cancellation while constraining the delay of each antenna at the same time. In this paper, an anti-jamming algorithm with a time-delay constraint is proposed, where one antenna is chosen as the reference and data from other antennas is corrected based on the signal received from it. The deduction and simulation results show that the proposed algorithm can effectively improve the accuracy of pseudo-range measurements without degradation of anti-jamming performance.
Highlights
The Global Navigation Satellite System (GNSS) has been widely used in many fields like transportation and aviation, which has greatly changed our daily lives [1,2]
It can be proved that when applying the narrow-band GNSS array signal model, where the time delays of different signal frequencies are neglected, the Space Array Processing (SAP) does not cause bias in PR measurement because the received signals of each antenna only differ in carrier phase, Electronics 2020, 9, 412; doi:10.3390/electronics9030412
On the one hand, According to the analysis of [19] and [20], the purpose of the space–time adaptive filter is to a new and uncertain delay is introduced by STAP because of the delay of the space–time adaptive mitigate the inconsistency of signal transmission channels
Summary
The Global Navigation Satellite System (GNSS) has been widely used in many fields like transportation and aviation, which has greatly changed our daily lives [1,2]. The antenna array processing can effectively suppress RFI, it will introduce Pseudo-Range (PR) bias and affect the positioning accuracy of GNSS receivers. It can be proved that when applying the narrow-band GNSS array signal model, where the time delays of different signal frequencies are neglected, the Space Array Processing (SAP) does not cause bias in PR measurement because the received signals of each antenna only differ in carrier phase, Electronics 2020, 9, 412; doi:10.3390/electronics9030412 www.mdpi.com/journal/electronics. 9, 412 where the2020, time delays of different signal frequencies are neglected, the Space Array Processing (SAP) does not cause bias in PR measurement because the received signals of each antenna only differ in carrier phase, and thenot weights of SAP will not affect of theeach baseband signals of high-precision each antenna, and the weights of SAP will affect the baseband signals antenna, so that so that high-precision of PR measurements can be achieved [15,16]. 4, the deviation suppression algorithm that, the of simulation results are shown analyzed in ranging
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