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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Assuming the receiver to be moving with velocity random walk dynamics, the system’s dynamics after discretization at a uniform sampling period T can be modeled as

(38.4) where is a discretetime zeromean white noise sequence with - фото 232

where is a discretetime zeromean white noise sequence with covariance Q diag - фото 233

where картинка 234is a discrete‐time zero‐mean white noise sequence with covariance Q= diag [ Q pv, Q clk]. Defining картинка 235and to be the power spectral densities of the acceleration in the x and y - фото 236to be the power spectral densities of the acceleration in the x − and y − directions, Q pvand Q clkare given by

where and correspond to the receivers and the i th BTS - фото 237

where картинка 238and картинка 239correspond to the receiver’s and the i ‐th BTS clock process noise covariances, respectively, specified in Eq. (38.2). Formulations of other more sophisticated radio SLAM scenarios are discussed in [27, 29, 41].

Note that in many practical situations, the receiver is coupled with an inertial measurement unit (IMU), which can be used instead of the statistical model to propagate the estimator’s state between measurement updates from BTSs [44, 45]. This is discussed in more detail in Section 38.9.

38.5 Navigation with Cellular CDMA Signals

To establish and maintain a connection between cellular CDMA BTSs and the UE, each BTS broadcasts comprehensive timing and identification information. Such information could be utilized for PNT. The sequences transmitted on the forward link channel, that is, from BTS to UE, are known. Therefore, by correlating the received cellular CDMA signal with a locally generated sequence, the receiver can estimate the TOA and produce a pseudorange measurement. This technique is used in GPS. With enough pseudorange measurements and knowing the states of the BTSs, the receiver can localize itself within the cellular CDMA environment.

This section is organized as follows. Section 38.5.1provides an overview of the modulation process of the forward link channel. Section 38.5.2presents a receiver architecture for producing navigation observables from received cellular CDMA signals. Section 38.5.3analyzes the precision of the cellular CDMA pseudorange observable. Section 38.5.4shows experimental results for ground and aerial vehicles navigating with cellular CDMA signals.

38.5.1 Forward Link Signal Structure

Cellular CDMA networks employ orthogonal and maximal‐length pseudorandom noise (PN) sequences in order to enable multiplexing over the same channel. In a cellular CDMA communication system, 64 logical channels are multiplexed on the forward link channel: a pilot channel, a sync channel, 7 paging channels, and 55 traffic channels [46]. The following sections discuss the modulation process of the forward link and give an overview of the pilot, sync, and paging channels from which timing and positioning information can be extracted. Models of the transmitted and received signals are also given.

38.5.1.1 Modulation of Forward Link CDMA Signals

The data transmitted on the forward link channel in cellular CDMA systems is modulated through quadrature phase shift keying (QPSK) and then spread using direct‐sequence CDMA (DS‐CDMA). However, for the channels of interest from which positioning and timing information is extracted, the in‐phase and quadrature components, I and Q , respectively, carry the same message m ( t ) as shown in Figure 38.4. The spreading sequences c Iand c Q, called the short code, are maximal‐length PN sequences that are generated using 15 linear feedback shift registers (LFSRs). Hence, the length of c Iand c Qis 2 15− 1 = 32, 767 chips at a chipping rate of 1.2288 Mcps [47]. The characteristic polynomials of the short code I and Q components, P I( D ) and P Q( D ), are given by

where D is the delay operator It is worth noting that an extra zero is added - фото 240 where D is the delay operator It is worth noting that an extra zero is added - фото 241

where D is the delay operator. It is worth noting that an extra zero is added after the occurrence of 14 consecutive zeros to make the length of the short code a power of two.

In order to distinguish the received data from different BTSs, each station uses a shifted version of the PN codes. This shift is an integer multiple of 64 chips, and this integer multiple, which is unique for each BTS, is known as the pilot offset. The cross‐correlation of the same PN sequence with different pilot offsets can be shown to be negligible [46]. Each individual logical channel is spread by a unique 64‐chip Walsh code [48]. Therefore, at most 64 logical channels can be multiplexed at each BTS. Spreading by the short code enables multiple access for BTSs over the same carrier frequency, while orthogonal spreading by the Walsh codes enables multiple access for users over the same BTS. The CDMA signal is then filtered using a digital pulse shaping filter that limits the bandwidth of the transmitted CDMA signal according to the cdma2000 standard. The signal is finally modulated by the carrier frequency ω cto produce s ( t ).

Figure 384 Forward link modulator Khalife et al 18 Source Reproduced - фото 242

Figure 38.4 Forward link modulator (Khalife et al. [18]).

Source: Reproduced with permission of IEEE.

38.5.1.2 Pilot Channel

The message transmitted by the pilot channel is a constant stream of binary zeros and is spread by Walsh code zero, which also consists of 64 binary zeros. Therefore, the modulated pilot signal is nothing but the short code, which can be utilized by the receiver to detect the presence of a CDMA signal and then track it. The fact that the pilot signal is data‐less allows for longer integration time. The receiver can differentiate between the BTSs based on their pilot offsets.

38.5.1.3 Sync Channel

The sync channel is used to provide time and frame synchronization to the receiver. Cellular CDMA networks typically use GPS as the reference timing source, and the BTS sends the system time to the receiver over the sync channel [49]. Other information such as the pilot PN offset and the long code state are also provided on the sync channel [47]. The long code is a PN sequence and is used to spread the reverse link signal (i.e. UE to BTS) and the paging channel message. The long code has a chip rate of 1.2288 Mcps and is generated using 42 LFSRs. The outputs of the registers are masked and modulo‐two added together to form the long code. The latter has a period of more than 41 days; hence, the states of the 42 LFSRs and the mask are transmitted to the receiver so that it can readily achieve long code synchronization. The sync message encoding before transmission is shown in Figure 38.5.

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