GNSS receiver implementations to mitigate the effects of commensurate sampling frequencies on DLL code tracking

Tran, Vinh T.; Shivaramaiah, Nagaraj C.; Nguyen, Thuan Dinh; Glennon, Eamonn; Dempster, Andrew G.

doi:10.1007/s10291-017-0690-x

Cited by 6 publications

(10 citation statements)

References 15 publications

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“…Solving for the timing parameter usually requires a feedback timing framework [8], [12], [16], [22], [24], as shown in Fig.2. In this figure, the ''TED parameter acquisition'' block is used to acquire parameters, which must be calculated before the timing error detector (TED).…”

Section: System Modelmentioning

confidence: 99%

Feedback Timing Method Based on Joint Optimization Function of Code Period and Timing Parameters in Non-Cooperative Communication

Qin

Wang

et al. 2019

IEEE Access

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In non-cooperative communication, the code frequency, the pulse shaping filter and other prior parameters are unknown to the receiver, which increases the challenge of non-cooperative receiving system design. A straightforward method may estimate these parameters in advance following traditional receiving systems. Estimation errors will undoubtedly be involved and passed between stages, which will decease system performance, especially in low signal-to-noise ratio (SNR) scenarios. To address this problem, this paper constructs a carefully designed optimization function for timing estimation that combines both the code frequencies and the timing parameters from multiple chips. Consequently, a feedback-based tracking model is proposed to solve such an optimization function. Finally, extensive simulation results validate the efficiency of the proposed method, which achieves ten times better accuracy than the traditional method and can partially overcome the influence of code frequency deviations. INDEX TERMS Non-cooperative communication, timing estimation, Gardner detector, self-noise, early-late detector, code loop tracking.

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Section: System Modelmentioning

confidence: 99%

Feedback Timing Method Based on Joint Optimization Function of Code Period and Timing Parameters in Non-Cooperative Communication

Qin

Wang

et al. 2019

IEEE Access

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“…In digital implementation, both the code phase discriminator and the subcarrier phase discriminator in the DEL are affected by sampling distortion. Many studies have focused on the impact of sampling distortion on the code phase discriminator [5][6][7][8][9][10][11][12][18][19][20][21][22], while only a few of them study of the digital subcarrier phase discriminator.…”

Section: Introductionmentioning

confidence: 99%

“…To eliminate this distortion, Quirk proposed a noncommensurate sampling method that can efficiently improve the resolution of the digital correlation curve [8]. In addition, Jin and Tran proposed a method based on phase jitter, which can further improve the phase resolution [20,21]. When phase resolution is enhanced, the zero-bias effect is highlighted [11].…”

Section: Introductionmentioning

confidence: 99%

High-Precision Pseudo-Noise Ranging Based on BOC Signal: Zero-Bias Mitigation Methods

Tang

et al. 2019

Applied Sciences

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In high precision applications based on binary subcarrier offset (BOC) signals, zero-bias of the digital discriminator is an error of importance. Unlike the thermal noise error, zero-bias is a fixed deviation that is challenging to eliminate by filtering in the time domain. In this paper, a statistical error analysis model for the zero-bias of BOC signal's digital phase discriminator is established. The evaluation of the zero-bias is inseparable from the spreading code sequence and the initial phase of the signal through defining the concept of statistics maximum and statistics standard deviation. Based on the zero-bias statistical error analysis model, two receiver parameter design methods, namely, the baseband signal sampling frequency and the early-late correlation interval, are proposed. The performance of the algorithm is simulated on account of the limited bandwidth, Doppler frequency offset and thermal noise. The simulation results prove that the proposed algorithm can suppress the standard deviation of zero-bias within one phase resolution, which contributes substantially to the improvement of the measurement accuracy of pseudo-noise ranging.

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“…In a traditional early minus later (E − L) code phase discriminator, the distortion error caused by sampling is called the zero-bias error [1]. There are two reasons for a zero-bias: (i) the phase estimation is blurred due to insufficient phase resolution of the digital code [2,3]; (ii) the deviation of the E − L discriminator is due to the asymmetry of the digital autocorrelation curve [4,5]. Non-commensurate sampling [1] can improve the phase resolution of the spread spectrum signal, in the relevant domain, by designing a non-commensurate sampling frequency with the spreading code rate.…”

mentioning

confidence: 99%

“…where c(•) represents the received signal andc(•) represents the spreading code reference waveform. According to the analysis in [3], when the gate wave of the code reference waveform is symmetric about the signal flip point, the zerobias of the code phase discriminator is the smallest. However, in cases where the initial code phase is uncertain, ensuring that each gate wave of the digital code reference waveform is symmetric about the flipped edge of the received signal is a crucial step.…”

mentioning

confidence: 99%

Zero‐bias mitigation method based on optimal correlation interval for digital code phase discriminator

Tang

et al. 2019

Electron. lett.

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In time synchronisation systems, the code phase of the spread spectrum signal is an important characteristic that can provide users with highprecision and unambiguous observation results. However, digital code phase discriminators have limited sampling frequencies that distort the signal correlation peak and generates a zero-bias codephase estimate. In this Letter, the authors evaluate and analyse the zero-phase deviations of digital code phases. An optimal correlation interval design method, based on a code phase discriminator that can effectively suppress the zero-crossing deviation, is also proposed. The simulation results show that the proposed algorithm can reduce the deviation of 96.5% and effectively improve the measurement accuracy of the code phase.

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GNSS receiver implementations to mitigate the effects of commensurate sampling frequencies on DLL code tracking

Cited by 6 publications

References 15 publications

Feedback Timing Method Based on Joint Optimization Function of Code Period and Timing Parameters in Non-Cooperative Communication

Feedback Timing Method Based on Joint Optimization Function of Code Period and Timing Parameters in Non-Cooperative Communication

High-Precision Pseudo-Noise Ranging Based on BOC Signal: Zero-Bias Mitigation Methods

Zero‐bias mitigation method based on optimal correlation interval for digital code phase discriminator

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