Position, Navigation, and Timing Technologies in the 21st Century

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Covers the latest developments in PNT technologies, including integrated satellite navigation, sensor systems, and civil applications Featuring sixty-four chapters that are divided into six parts, this two-volume work provides comprehensive coverage of the state-of-the-art in satellite-based position, navigation, and timing (PNT) technologies and civilian applications. It also examines alternative navigation technologies based on other signals-of-opportunity and sensors and offers a comprehensive treatment on integrated PNT systems for consumer and commercial applications.
Volume 1 of
contains three parts and focuses on the satellite navigation systems, technologies, and engineering and scientific applications. It starts with a historical perspective of GPS development and other related PNT development. Current global and regional navigation satellite systems (GNSS and RNSS), their inter-operability, signal quality monitoring, satellite orbit and time synchronization, and ground- and satellite-based augmentation systems are examined. Recent progresses in satellite navigation receiver technologies and challenges for operations in multipath-rich urban environment, in handling spoofing and interference, and in ensuring PNT integrity are addressed. A section on satellite navigation for engineering and scientific applications finishes off the volume.
Volume 2 of
consists of three parts and addresses PNT using alternative signals and sensors and integrated PNT technologies for consumer and commercial applications. It looks at PNT using various radio signals-of-opportunity, atomic clock, optical, laser, magnetic field, celestial, MEMS and inertial sensors, as well as the concept of navigation from Low-Earth Orbiting (LEO) satellites. GNSS-INS integration, neuroscience of navigation, and animal navigation are also covered. The volume finishes off with a collection of work on contemporary PNT applications such as survey and mobile mapping, precision agriculture, wearable systems, automated driving, train control, commercial unmanned aircraft systems, aviation, and navigation in the unique Arctic environment.
In addition, this text:
Serves as a complete reference and handbook for professionals and students interested in the broad range of PNT subjects Includes chapters that focus on the latest developments in GNSS and other navigation sensors, techniques, and applications Illustrates interconnecting relationships between various types of technologies in order to assure more protected, tough, and accurate PNT
will appeal to all industry professionals, researchers, and academics involved with the science, engineering, and applications of position, navigation, and timing technologies.pnt21book.com

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Figure 3841 Structure of a DLL employing a coherent baseband discriminator to - фото 431

Figure 38.41 Structure of a DLL employing a coherent baseband discriminator to track the code phase (Shamaei et al. [73]).

Source: Reproduced with permission of IEEE, European Signal Processing Conference.

Figure 3842 Output of the coherent baseband discriminator function for the SSS - фото 432

Figure 38.42 Output of the coherent baseband discriminator function for the SSS with different correlator spacing (Shamaei et al. [73]).

Source: Reproduced with permission of IEEE, European Signal Processing Conference.

OpenLoop AnalysisThe coherent baseb - фото 433 OpenLoop AnalysisThe coherent baseband discriminator function is defined as - фото 434 Position Navigation and Timing Technologies in the 21st Century - изображение 435

Open‐Loop Analysis:The coherent baseband discriminator function is defined as

Position Navigation and Timing Technologies in the 21st Century - изображение 436 The signal component of the normalized discriminator function is shown in - фото 437

The signal component of the normalized discriminator function картинка 438is shown in Figure 38.42for t eml= {0.25, 0.5, 1, 1.5, 2}.

It can be seen from Figure 38.42that the discriminator function can be approximated by a linear function for small values of Δ τ k, given by

(38.26) where k SSSis the slope of the discriminator function at Δ τ k 0 which is - фото 439

where k SSSis the slope of the discriminator function at Δ τ k= 0, which is obtained by

The mean and variance of D kcan be obtained from Eq 3826as 3827 - фото 440 Position Navigation and Timing Technologies in the 21st Century - изображение 441

The mean and variance of D kcan be obtained from Eq. (38.26)as

(38.27) Position Navigation and Timing Technologies in the 21st Century - изображение 442

(38.28) ClosedLoop AnalysisIn a rateaided DLL the pseudorange rate estimated by the - фото 443

Closed‐Loop Analysis:In a rate‐aided DLL, the pseudorange rate estimated by the FLL‐assisted PLL is added to the output of the DLL discriminator. In general, it is enough to use a first‐order loop for the DLL loop filter since the FLL‐assisted PLL’s pseudorange rate estimate is accurate. The closed‐loop‐error time update for a first‐order loop is shown to be [57]

where B n DLLis the DLL noiseequivalent bandwidth and K Lis the loop gain - фото 444

where B n, DLLis the DLL noise‐equivalent bandwidth, and K Lis the loop gain. To achieve the desired loop noise‐equivalent bandwidth, K Lmust be normalized according to

Position Navigation and Timing Technologies in the 21st Century - изображение 445

Using Eq. (38.13), the loop noise gain for a coherent baseband discriminator becomes

Position Navigation and Timing Technologies in the 21st Century - изображение 446

.

Assuming zero‐mean tracking error, that is, Position Navigation and Timing Technologies in the 21st Century - изображение 447, the variance time update is given by

(38.29) At steady state varΔ τ var Δ τ k 1 var Δ τ k hence 3830 - фото 448

At steady state, var{Δ τ } = var {Δ τ k + 1} = var {Δ τ k}; hence,

(38.30) From Eq 3830 it can be seen that the standard deviation of the ranging - фото 449

From Eq 3830 it can be seen that the standard deviation of the ranging - фото 450

From Eq. (38.30), it can be seen that the standard deviation of the ranging error is related to the correlator spacing through g ( t eml). Figure 38.43shows g ( t eml) for 0 ≤ t eml≤ 2. It can be seen that g ( t eml) is not a linear function, and it increases significantly faster when t eml> 1. Therefore, to achieve a relatively high ranging precision, t emlmust be set to be less than 1. It is worth mentioning that for the GPS C/A code with an infinite bandwidth, g ( t eml) = t eml.

Figure 38.44shows the pseudorange error of a coherent DLL as a function of C / N 0, with B n, DLL= {0.005, 0.05} Hz and t eml= {0.25, 0.5, 1, 1.5, 2}. It is worth mentioning that in Figure 38.44, the bandwidth is chosen so as to enable the reader to compare the results with the standard GPS results provided in [55].

38.6.3.2 Non‐Coherent DLL Tracking

In a typical DLL, the correlation of the received signal with the early, prompt, and late locally generated signals at time t = kT subare calculated according to

Position Navigation and Timing Technologies in the 21st Century - изображение 451

where x can be either e , p , or l representing early, prompt, or late correlations, respectively. Figure 38.45represents the general structure of the DLL. This subsection studies the code phase error with two non‐coherent discriminators: dot‐product and early‐power‐minus‐late‐power.

Figure 3843 The standard deviation of the ranging error Δ τ is related to the - фото 452

Figure 38.43 The standard deviation of the ranging error Δ τ is related to the correlator spacing through g ( t eml), which is shown as a function of t eml(Shamaei et al. [73]).

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