Next generation low frequency solutions for alternative positioning, navigation, timing, and data (PNT&amp;amp;D) services and associated receiver technology

Helwig, Arthur; Offermans, Gerard; Stout, Chris E.; Schue, Charles

doi:10.1109/plans.2012.6236978

Cited by 6 publications

(6 citation statements)

References 2 publications

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“…Following the approach in [10], massive measurements were taken in an area between Jinxian and Shangrao, in Jiangxi Province, China, with the Loran-C transmitter located at Xuancheng station which is 400 km away from Jinxian and 280 km away from Shangrao. Fig.…”

Section: Long Distance Verificationmentioning

confidence: 99%

“…As GNSS (GPS and GLONASS) are inherently vulnerable to interference, disruption, jamming and spoofing, many governments and civilian organisations around the world are devoting to the upgrading research of Long Range Navigation System (Loran-C) [6][7][8][9][10]. Loran-C was a ground-based navigation system administered by the U.S. Coast Guard.…”

Section: Introductionmentioning

confidence: 99%

“…Global Positioning System (GPS) by US government and GLONASS (Globalnaya Navigatsionnay Sputnikovaya Sistema) by the Russian Federations are both satellite based positioning systems. As GNSS (GPS and GLONASS) are inherently vulnerable to interference, disruption, jamming and spoofing, many governments and civilian organisations around the world are devoting to the upgrading research of Long Range Navigation System (Loran‐C) [6–10]. Loran‐C was a ground‐based navigation system administered by the U.S. Coast Guard.…”

Section: Introductionmentioning

confidence: 99%

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Long‐range Loran‐C ground‐wave propagation prediction based on adaptive moving window finite‐difference time‐domain method with compute unified device architecture parallel computing techniques

Zhou

et al. 2015

IET Microwaves, Antennas & Propagation

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Modelling long-range Loran-C signal propagation numerically is challenging because of its extremely high computational cost. Other analytical/semi-analytical methods are not accurate enough because of unavoidable approximations. In this study, the authors put forward a solution using the adaptive moving window finite-difference time-domain (FDTD) method to compute unified device architecture parallel computing techniques. The moving velocity of the window is dependent upon the wave speed adaptively. To achieve the adaptive moving window technique, the original Loran-C signal is truncated first. A further method employed to extract the electric field amplitude and phase is proposed. The electric field amplitude and phase data of each mesh in the computational space are synchronously obtained from the spatial domain as the FDTD updates, without additional storage cost and post processing in the time domain. With all these efforts, a 400 km propagation path was simulated successfully within 22 min. Measurement results between Jinxian and Shangrao in Jiangxi Province, China were taken to validate the numerical approach.

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Section: Long Distance Verificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Long‐range Loran‐C ground‐wave propagation prediction based on adaptive moving window finite‐difference time‐domain method with compute unified device architecture parallel computing techniques

Zhou

et al. 2015

IET Microwaves, Antennas & Propagation

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“…The Loran‐C system functions in the radio frequency of 90–110 kHz . In recent years, the use of the Loran system in navigation has been the focus of attention due to new methods for potential improvement via hardware and processing as well as protection from jamming . One of the most important sources of error in the Loran system is interference arising from received pulses from two different Loran chains that are coincident with each other.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Cross-Rate Interference Cancelation by Use of a Novel Phase Code Interval in Loran Navigation System

Bayat

Madani

2017

J Inst Navig

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This work concentrates on improving performance of the Loran system with rejection of cross-rate interference (CRI) by the use of a new phase code interval, the so-called Bayat Phase Code Interval (BPCI), and on the signal in the frequency domain. Indeed, interference will be canceled by removing the common spectral lines between main and interference chains in all integer coefficients of the greatest common divisor frequency of two code intervals. In addition, all interference originating from sky waves that have delay greater than 700 μs is removed by employing both the presented phase code and averaging algorithm. The results demonstrate that if the design is desirable, in the sense that the inverse of the greatest common divisor of BPCI of the considered chain with adjacent interfering chains is equal to an integer multiple of 0.5 kHz, then the proposed BPCI rejects all of the spectral lines of the undesired chain.

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“…In order to guarantee the integrity and availability of civil aviation under GPS RFI, the United States Federal Aviation Administration (FAA) has recently initiated an effort called Alternative Position Navigation and Timing (APNT) to provide a navigation system for aviation that can provide many of the operational capabilities that will be enabled by GPS [ 12 , 13 ]. The aim of APNT is to provide robustness for the US National Airspace to GPS outages due to RFI and other events.…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Capable Software-Defined Receiver Using GPU for Adaptive Anti-Jam GPS Sensors

Seo

Chen

Lorenzo

et al. 2011

Sensors

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Due to their weak received signal power, Global Positioning System (GPS) signals are vulnerable to radio frequency interference. Adaptive beam and null steering of the gain pattern of a GPS antenna array can significantly increase the resistance of GPS sensors to signal interference and jamming. Since adaptive array processing requires intensive computational power, beamsteering GPS receivers were usually implemented using hardware such as field-programmable gate arrays (FPGAs). However, a software implementation using general-purpose processors is much more desirable because of its flexibility and cost effectiveness. This paper presents a GPS software-defined radio (SDR) with adaptive beamsteering capability for anti-jam applications. The GPS SDR design is based on an optimized desktop parallel processing architecture using a quad-core Central Processing Unit (CPU) coupled with a new generation Graphics Processing Unit (GPU) having massively parallel processors. This GPS SDR demonstrates sufficient computational capability to support a four-element antenna array and future GPS L5 signal processing in real time. After providing the details of our design and optimization schemes for future GPU-based GPS SDR developments, the jamming resistance of our GPS SDR under synthetic wideband jamming is presented. Since the GPS SDR uses commercial-off-the-shelf hardware and processors, it can be easily adopted in civil GPS applications requiring anti-jam capabilities.

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Next generation low frequency solutions for alternative positioning, navigation, timing, and data (PNT&D) services and associated receiver technology

Cited by 6 publications

References 2 publications

Long‐range Loran‐C ground‐wave propagation prediction based on adaptive moving window finite‐difference time‐domain method with compute unified device architecture parallel computing techniques

Long‐range Loran‐C ground‐wave propagation prediction based on adaptive moving window finite‐difference time‐domain method with compute unified device architecture parallel computing techniques

Analysis of Cross-Rate Interference Cancelation by Use of a Novel Phase Code Interval in Loran Navigation System

A Real-Time Capable Software-Defined Receiver Using GPU for Adaptive Anti-Jam GPS Sensors

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