Spread-spectrum ranging multipath model validation

Braasch, Michael S.; Dibenedetto, M.

doi:10.1109/7.913691

Cited by 28 publications

(11 citation statements)

References 7 publications

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“…Models of discriminator functions have been used to characterize both low-dynamic and high-dynamic multipath interference. This paper concerns itself specifically with the latter since an abundance of theory and validation data (Braasch 1992;Cox et al 1999;Braasch and DiBenedetto 2001) has been produced for the static and low-dynamics cases. Work in the analysis of highdynamic multipath has produced mathematical descriptions of discriminator functions for general cases of multipath-corrupted signals in coherent and noncoherent delay lock loops (Van Nee 1991, 1993, 1995.…”

Section: Fast Fading Multipath Model Theorymentioning

confidence: 99%

“…If the multipath phase changes slowly, then the impact of the phase-rate is negligible. The pseudorange multipath error will simply vary according to the strength, delay and phase of the multipath as has been validated in (Braasch 1992;Braasch and DiBenedetto 2001). If the multipath phase changes more rapidly, some of the pseudorange error variation will be filtered out.…”

Section: Introductionmentioning

confidence: 98%

“…Guaranteeing system reliability to the degree dictated by governing entities requires a rigorous exploration of multipath modeling and mitigation techniques. Numerous books and articles have been published which attempt to characterize the effects of multipath in GPS, including theoretical studies of the dynamic characteristics of multipath examined more deeply in this article (Van Nee 1991, 1993, 1995Kelly and Braasch 1999), analysis of tracking mechanisms in static multipath scenarios (Kaplan 1996;Parkinson and Spilker 1996;Misra and Enge 2001), and validation data for static cases (Brasch 1992;Braasch and DiBenedetto 2001;Cox et al 1999). Most current multipath models, and all published validation efforts regarding multipath error, are concerned with bounding such error by defining the envelope of the worst-case performance based on characteristics of the composite incident signal.…”

Section: Introductionmentioning

confidence: 98%

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Characterization of the effects of high multipath phase rates in GPS

2003

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GPS multipath has been studied since the early 1970s. Prior to the investigation described in this paper, however, the effects due to the relative Doppler shift between the direct and multipath signal components have received scant attention. The single previous study that did address the issue indicated coherent receivers had significant performance advantages over noncoherent receivers. Specifically, it was stated that under the condition of fast-fading multipath, noncoherent receivers would yield a bias error, whereas coherent receivers would not. After reviewing the background theory, this paper describes a revised model of the phenomenon and shows the results of hardware simulations which validate the existence of the bias in both receiver types and offer support for the new model. A case study of a specific commercial receiver is presented.

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Section: Fast Fading Multipath Model Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 98%

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Characterization of the effects of high multipath phase rates in GPS

2003

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“…These effects of long delay reflections on typical receivers are treated in (Braasch, 1997;Braasch & DiBenedetto, 2001). Then taking into consideration that the reflected signal can be only time-delayed relative to the line-of-sight signal, we take 5 e [0; A].…”

Section: Figure 2 Equivalent Functions Of Input Prsti Wilt! the Firsmentioning

confidence: 99%

Evolution of Multipath Error Reduction with Signal Processing

Жданов¹,

Zhodzishsky²,

Veitsel³

et al. 2002

GPS Solutions

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The described method of code and carrier multipath error reduction is a refinement of the strobe method ofpseudo random noise (PRN) signal processing. This method utilizes as a correlator reference code a strobe sequence containing pulses with a specially designed shape. The method demonstrated its efficiency for reduction of the tracking error in PRN-signal digital receivers. Since the strobe method degrades signal to noise ratio, i.e., degrades the noise tracking error, a narrowing of the tracking system bandwidth is normally used to compensate for this degradation. This, in turn, could cause large dynamic errors in the measurements. However, in the present article, the strobe sequence is optimized to provide the best trade-off between multipath and noise/dynamic errors; i.e., the multipath error is reduced without a large increase of noise/dynamic error. The newly found strobe sequences are cited in the article, along with methods for their mathematical synthesis. Finally, theoretical and experimental results for noise and multipath errors are given.

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“…High precision of timing measurement is possible if spreading code is very long, but leading to very high sampling rate and high hardware cost. This can make the implementation of positioning system difficult and limit its applications [6]. As phase measurement is more sensitive to the distance of microwave transmission than timing measurement, indoor positioning system can measure coherent phase [7] by autocorrelation of received spread spectrum signals from base stations, to accurately calculate the time difference of arrival.…”

Section: Introductionmentioning

confidence: 99%

Wavelet Autocorrelation and Denoising of Spread Spectrum Signal for Narrowband Wireless Indoor Positioning

Wenyang¹,

Luo²

2017

dtetr

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Abstract. Channel noise is a key factor that affects the measurement accuracy of narrowband wireless indoor positioning. To reduce noise effects, it is often required to effectively filter the received spread spectrum signals. However, current filtering methods in the time or frequency domain can only filter high frequency band noise, making the measurement accuracy low. In this paper, a low frequency band noise reduction algorithm based on the threshold segmentation of the rectangular window is proposed. The method is based on thresholding on time-frequency wavelet domain by variance analysis and signal despreading is achieved by wavelet autocorrelation at low frequency band after denoising with reference to locally generated spread spectrum signal without added noise at the same subband. Simulation results show that compared with other filtering methods, the proposed method by wavelet autocorrelation and denoising can eliminate the noise effects at the receiver, leading to improving the positioning accuracy significantly.

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Spread-spectrum ranging multipath model validation

Cited by 28 publications

References 7 publications

Characterization of the effects of high multipath phase rates in GPS

Characterization of the effects of high multipath phase rates in GPS

Evolution of Multipath Error Reduction with Signal Processing

Wavelet Autocorrelation and Denoising of Spread Spectrum Signal for Narrowband Wireless Indoor Positioning

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