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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(38.8) Position Navigation and Timing Technologies in the 21st Century - изображение 266

where R cis the autocorrelation function of the PN sequences c ′ I, and Position Navigation and Timing Technologies in the 21st Century - изображение 267is the code phase error, Position Navigation and Timing Technologies in the 21st Century - изображение 268is the carrier phase error, and Position Navigation and Timing Technologies in the 21st Century - изображение 269with картинка 270and Position Navigation and Timing Technologies in the 21st Century - изображение 271being independent and identically distributed Gaussian random sequences with zero mean and variance Position Navigation and Timing Technologies in the 21st Century - изображение 272.

The expression for Z kin Eq. (38.8)assumes that the locally generated c Iand c Qhave the same code phase. To ensure this, both sequences must begin with the first binary “1” that occurs after 15 consecutive zeros; otherwise, ∣ Z k∣ will be halved. Figure 38.9shows | Z k| 2for unsynchronized and synchronized c Iand c Qcode phases (i.e. shifted by 34 chips). The correlation peak of the synchronized codes is four times the peak of the unsynchronized case.

The carrier wipe‐off and correlation stages are illustrated in Figure 38.10.

38.5.2.2 Acquisition

The objective of this stage is to determine which BTSs are in the receiver’s proximity and to obtain a coarse estimate of their corresponding code start times and Doppler frequencies. For a particular PN offset, a search over the code start time and Doppler frequency is performed to detect the presence of a signal. To determine the range of Doppler frequencies to search over, one must consider the relative motion between the receiver and the BTS and the stability of the receiver’s oscillator. For instance, a Doppler shift of 122 Hz will be observed for a cellular CDMA carrier frequency of 882.75 MHz at a mobile receiver with a receiver‐to‐BTS line‐of‐sight velocity of 150 km/h. Therefore, to account for this Doppler (at a carrier frequency of 882.75 MHz) as well as oscillator‐induced Doppler, the Doppler frequency search window is chosen to lie between −500 and 500 Hz. The frequency spacing Δ f Dmust be a fraction of 1/ T sub, which implies that Δ f D≪ 37.5 Hz, if T subis assumed to be one PN code period (e.g. a Δ f Dbetween 8 and 12 Hz can be chosen). The code start time search window is naturally chosen to be one PN code interval with a delay spacing of one sample.

Figure 389 Z k 2for a unsynchronized and b synchronized c Iand c Qcodes - фото 273

Figure 38.9 | Z k| 2for (a) unsynchronized and (b) synchronized c Iand c Qcodes (Khalife et al. [18]).

Source: Reproduced with permission of IEEE.

Figure 3810 Carrier wipeoff and correlator Thick lines indicate a - фото 274

Figure 38.10 Carrier wipe‐off and correlator. Thick lines indicate a complex‐valued variable (Khalife et al. [18]).

Source: Reproduced with permission of IEEE.

Similar to GPS signal acquisition, the search could be implemented either serially or in parallel, which in turn could be performed over the code phase or the Doppler frequency. The receiver presented here performs a parallel code phase search by exploiting the optimized efficiency of the fast Fourier transform (FFT) [53]. If a signal is present, a plot of | Z k| 2will show a high peak at the corresponding code start time and Doppler frequency estimates. A hypothesis test could be performed to decide whether the peak corresponds to a desired signal or noise. Since there is only one PN sequence, the search needs to be performed once. Then, the resulting surface is subdivided in the time axis into intervals of 64 chips, each division corresponding to a particular PN offset. The PN sequences for the pilot, sync, and paging channels could be generated off‐line and stored in a binary file to speed up the processing. Figure 38.11depicts the acquisition stage of a cellular CDMA signal with a software‐defined receiver (SDR) developed in LabVIEW, showing | Z k| 2along with картинка 275, the PN offset, and the carrier‐to‐noise ratio C / N 0for a particular BTS [18].

38.5.2.3 Tracking

After obtaining an initial coarse estimate of the code start time картинка 276and Doppler frequency картинка 277, the receiver refines and maintains these estimates via tracking loops. A phase‐locked loop (PLL) or a frequency‐locked loop (FLL) can be employed to track the carrier phase, and a carrier‐aided delay‐locked loop (DLL) can be used to track the code phase. FLLs are generally more robust than PLLs, are useful when transitioning from acquisition to tracking, and can track in more challenging environments [54, 55]. Figure 38.12depicts a block diagram of a PLL‐aided DLL tracking loop [12, 18]. The PLL and DLL are discussed in detail next.

Figure 3811 Cellular CDMA signal acquisition front panel showing Z k 2along - фото 278

Figure 38.11 Cellular CDMA signal acquisition front panel showing | Z k| 2along with PN offset and C N 0for a particular BTS Khalife et al 18 Source - фото 279, PN offset, and C / N 0for a particular BTS (Khalife et al. [18]).

Source: Reproduced with permission of IEEE.

Figure 3812 Tracking loops in a navigation cellular CDMA receiver Thick lines - фото 280

Figure 38.12 Tracking loops in a navigation cellular CDMA receiver. Thick lines represent complex quantities (Khalife et al. [18]).

Source: Reproduced with permission of IEEE.

PLL:The PLL consists of a phase discriminator, a loop filter, and a numerically controlled oscillator (NCO). Since the receiver is tracking the data‐less pilot channel, an atan2discriminator can be used, given by

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