Analysis of noncommensurate sampling effects on the performance of PN code tracking loops

Yang, Jian; Yang, Yikang; Li, Jisheng; Li, Hengnian; Yang, Tao

doi:10.1007/s11431-017-9199-8

Cited by 5 publications

(13 citation statements)

References 14 publications

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“…In the tracking process, the ranging accuracy is further improved [30]. However, if the transmission signal of the VLBI station corresponds to the time division, the tracking lock may be lost in the process of signal switching.…”

Section: A Extrapolation Of Carrier Tracking Loop and Code Tracking mentioning

confidence: 99%

A New Very Long Baseline Interferometry Method Based on the Uplink Signal

Xue

2020

IEEE Access

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Very long baseline interferometry (VLBI) is widely used for astronomical observations and navigation of deep space receivers. To solve the problems of the downlink signal being excessively weak to be received and the excessively large acquisition time, a new VLBI measurement method based on the uplink signal is proposed. Deep space ground stations can provide radio measurement signals for deep space spacecraft via the uplink. The range, Doppler and VLBI can be determined by the spacecraft through signals from multiple ground stations. In this manner, a higher signal to noise ratio (SNR) can be obtained. This study involves the development of a prompt acquisition algorithm for high dynamic deep space signals. Furthermore, the measurement and tracking of the phases of multiple VLBI stations by deep space receiver employing the uplink are analyzed. The use of the algorithms reduce the acquisition time for deep space receiver, and high precision results can be obtained for the VLBI measurement. Compared with the traditional VLBI method, the ranging error on the same distance is effectively improved, and the angle measurement accuracy is better than delta differential one way ranging (DOR). Because multiple spacecraft are not needed, there are fewer limitations than same beam interferometry (SBI). INDEX TERMS Navigation, very long baseline interferometry, acquisition and tracking, interferometry.

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Section: A Extrapolation Of Carrier Tracking Loop and Code Tracking mentioning

confidence: 99%

A New Very Long Baseline Interferometry Method Based on the Uplink Signal

Xue

2020

IEEE Access

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“…For a digital square wave signal, assuming that the coherent integration time of the correlator is an integer of the spread symbol width, and the correlation interval of the discriminator is an integer of the phase resolution of the correlator, the resolution ( , ) s P k k of the phase discriminator is [8,12]:…”

Section: Sampling Distortion: Resolution Errormentioning

confidence: 99%

“…(1) Determine specific parameters such as spreading code rate c F , correlator interval The optimal correlation interval obtained according to the method proposed in this paper is the same as that of Yang's paper [12]. Although these two different methods share the conclusion, the method proposed in this paper is capable to quantitatively evaluate the performance of all parameters, instead of being limited to optimal parameter design As shown in Figure 6, the correlation interval near the optimal value 10T s corresponds to the similar zero-bias performance.…”

Section: Sampling Frequency Designmentioning

confidence: 99%

“…Under the condition of commensurate sampling where the sampling frequency and the spreading symbol rate satisfy an integer-multiple relationship, the phase resolution error of the digital discriminator will increase significantly so that the phase resolution of the digital discriminator will be equal to the sampling interval of the digital signal [9,10]. In addition, the zero-bias of the discriminator arises from the asymmetry of the digital correlation curve of the pseudo-random spread spectrum signal [11,12]. Randomly flipping the chips of the pseudo-random spreading sequence destroys the symmetry of the digital correlation curve.…”

Section: Introductionmentioning

confidence: 99%

“…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%

See 2 more Smart Citations

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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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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Analysis of noncommensurate sampling effects on the performance of PN code tracking loops

Cited by 5 publications

References 14 publications

A New Very Long Baseline Interferometry Method Based on the Uplink Signal

A New Very Long Baseline Interferometry Method Based on the Uplink Signal

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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