An assisted high-sensitivity acquisition technique for GPS indoor positioning

Dovis, Fabio; Lesca, Riccardo; Margaria, Davide; Boiero, G.; Ghinamo, Giorgio

doi:10.1109/plans.2008.4570123

Cited by 16 publications

(11 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As pointed out in [ 2 ], there are three factors that cause loss of measured correlation value: the bit transition, the residual code in the autocorrelation function

, and the residual frequency. The solution of residual code and data transition can be found in [ 18 , 19 ]. Moreover, some modern GNSS signals introduce pilot channels, which do not contain data bits.…”

Section: Residual Carrier Frequency Problemmentioning

confidence: 99%

“…Regarding the accuracy of the evaluated estimators, two signal conditions are considered. The first one is the nominal range of

, which is 35 dB-Hz and above [ 18 , 26 ], and the second one is the weak signals, in which

is in the range of

dB-Hz. In the nominal conditions, the integration time equals 1 ms and the number of combinations

are adequate to detect and track the signal [ 7 ].…”

Section: Performance Analysismentioning

confidence: 99%

See 1 more Smart Citation

A Novel Residual Frequency Estimation Method for GNSS Receivers

Nguyen

2018

Sensors

View full text Add to dashboard Cite

In Global Navigation Satellite System (GNSS) receivers, residual frequency estimation methods are traditionally applied in the synchronization block to reduce the transient time from acquisition to tracking, or they are used within the frequency estimator to improve its accuracy in open-loop architectures. There are several disadvantages in the current estimation methods, including sensitivity to noise and wide search space size. This paper proposes a new residual frequency estimation method depending on differential processing. Although the complexity of the proposed method is higher than the one of traditional methods, it can lead to more accurate estimates, without increasing the size of the search space.

show abstract

“…As pointed out in [ 2 ], there are three factors that cause loss of measured correlation value: the bit transition, the residual code in the autocorrelation function

Section: Residual Carrier Frequency Problemmentioning

confidence: 99%

“…Regarding the accuracy of the evaluated estimators, two signal conditions are considered. The first one is the nominal range of

, which is 35 dB-Hz and above [ 18 , 26 ], and the second one is the weak signals, in which

is in the range of

dB-Hz. In the nominal conditions, the integration time equals 1 ms and the number of combinations

are adequate to detect and track the signal [ 7 ].…”

Section: Performance Analysismentioning

confidence: 99%

A Novel Residual Frequency Estimation Method for GNSS Receivers

Nguyen

2018

Sensors

View full text Add to dashboard Cite

show abstract

“…Most existing indoor localization solutions for building emergency response operations, either proposed in the academia [15][16][17][18][19][20][21][22][23] or are available in the market [24,25], were developed in the absence of clear knowledge about the needs of first responders if an indoor localization solution existed. This problem is even more obvious with indoor localization solutions developed for general purposes using various technologies such as inertial navigation systems (INS) [26][27][28], assisted GPS (AGPS) [29][30][31], and infrared [32][33][34], as well as a couple of RF technologies including ultra wide band (UWB) [35][36][37], radio frequency identification (RFID) [38][39][40][41], wireless local area network (WLAN) [42][43][44][45], and wireless sensor networks (WSN) [46][47][48]. For example, most existing solutions predominantly emphasized their high accuracies; however, none of them argued what level of accuracy is sufficient to support emergency response operations while not becoming over demanding in terms of supporting infrastructure or prior data input, or to what extent an accuracy should be retained when a solution is challenged by hazards such as fire and structural collapses.…”

Section: Need Analysismentioning

confidence: 99%

Comparative assessment of an indoor localization framework for building emergency response

Becerik-Gerber

Soibelman

et al. 2015

Automation in Construction

View full text Add to dashboard Cite

Building emergencies, especially structure fires, are threats to the safety of both building occupants and first responders. It is difficult and dangerous for first responders to perform search and rescue in an unfamiliar environment, sometimes leading to secondary casualties. One way to reduce such hazards is to provide first responders with timely access to accurate location information. To address this challenge, the authors have developed a radio frequency based indoor localization framework, for which novel algorithms were designed for two different situations: one where an existing sensing infrastructure exists in buildings and one where an adhoc sensing infrastructure must be deployed. This paper presents a comparative assessment of this framework under different situations and emergency scenarios, and between simulations and field tests. The paper first presents an assessment of the framework in field tests, showing that it achieves room-level accuracies above 82.8% and 84.6% and coordinate-level accuracies above 2.29 m and 2.07 m, under the two situations, respectively. Moreover, the framework demonstrates considerable robustness in the tests, retaining a room-level accuracy of 70% or higher when the majority of sensing infrastructure is damaged. This paper then synthesizes results from both simulations and field tests, and demonstrates how the framework can be adapted to different situations and scenarios while consistently yielding satisfactory localization performance.

show abstract

“…The maximum practical integration period is limited by the relative dynamics of the receiver, amongst other factors [12]. With aiding, the effect of relative dynamics can be compensated and then the main challenge is the requirement for a precise oscillator to overcome the oscillator instability affecting the coherent integration period [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

A Ray-Tracing Technique to Characterize GPS Multipath in the Frequency Domain

Gowdayyanadoddi

Curran

Broumandan

2015

International Journal of Navigation and Observation

View full text Add to dashboard Cite

Multipath propagation is one of the major sources of error in GPS measurements. In this research, a ray-tracing technique is proposed to study the frequency domain characteristics of multipath propagation. The Doppler frequency difference, also known as multipath phase rate and fading frequency, between direct (line-of-sight, LOS) and reflected (non-line-of-sight, NLOS) signals is studied as a function of satellite elevation and azimuth, as well as distance between the reflector and the static receiver. The accuracy of the method is verified with measured Doppler differences from real data collected in a downtown environment. The use of ray-tracing derived predicted Doppler differences in a receiver, as a means of alleviating the multipath induced errors in the measurement, is presented and discussed.

show abstract

An assisted high-sensitivity acquisition technique for GPS indoor positioning

Cited by 16 publications

References 3 publications

A Novel Residual Frequency Estimation Method for GNSS Receivers

A Novel Residual Frequency Estimation Method for GNSS Receivers

Comparative assessment of an indoor localization framework for building emergency response

A Ray-Tracing Technique to Characterize GPS Multipath in the Frequency Domain

Contact Info

Product

Resources

About