Design and implementation of a direct digitization GPS receiver front end

Akos, Dennis; Tsui, J.B.Y.

doi:10.1109/22.554550

Cited by 56 publications

(22 citation statements)

References 5 publications

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“…The bandpass sampling theorem enables this type of approach, but only if the bandpass filter (BPF) upstream of the ADC sufficiently attenuates all frequencies outside of the information bandwidth of the desired signal [1]. The resulting ADC output has an IF of f IF ϭ f c Ϫ f s round(f c /f s ) (1) where f c is the original carrier frequency, f s is the sampling frequency, and the round() function rounds to the nearest integer. Equation (1) guarantees that f IF falls within the Nyquist bandwidth: Ϫf s /2 Յ f IF Յ f s /2.…”

Section: Introductionmentioning

confidence: 99%

A Comparison of Direct Radio Frequency Sampling and Conventional GNSS Receiver Architectures

2005

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Public Reporting burden for this collection of information is estimated to average 1 hoar per response, including the time for reviewing instructions, searching existing data sources, gatheruig and maintaining the data needed, and completing and reviewing the collection of information. Send comment regarding this burden estimates or any other aspect of this coUecöon of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202^*302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188.) Washington, DC 20503^ 1. AGENCY USE ONLY (Leave Blank) 2. REPORT DATE N63374 11. SUPPLEMENTARY NOTES. The views, opinions and/or findings contained in this report are those of the author(s) and should not be construed as an official Department of the Army position, policy or decision, unless so designated by other documentation. 12 a. DISTRIBUTION /AVAILABILITY STATEMENT Approved for public release; distribution unlimited. 12 b. DISTRIBUTION CODE 13. ABSTRACT (Maximum 200 words) This report presents the final results of an investigation into direct radio frequency (RF) sampling receiver front ends and compares their performance to the traditional digital receiver front end designs. The distinction between the two implementations is that a direct RF sampling front end uses no analog frequency down conversion, rather the information bandwidth is aliased through the sampling process. This type of design significantly simplifies multiple frequency receiver design, important for receivers used in the Global Positioning System. However, the consequences of such an architecture are not fully understood as the technology required for their implementation has only recent become available. Past work has shown the feasible of the approach. This effort and report document the impact on the resulting phase noise, an important element in receiver design, as a result of the direct RF sampling.

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Section: Introductionmentioning

confidence: 99%

A Comparison of Direct Radio Frequency Sampling and Conventional GNSS Receiver Architectures

2005

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“…Actually, in the GNSS application, also receiver architectures where the sampling is done directly for the RF signal have been seriously considered [15]. This becomes possible due to the low spectral dynamic range as the GNSS signal levels are typically below the noise floor.…”

Section: Fft-based Gnss Receivermentioning

confidence: 99%

Utilization of multi-rate signal processing for GNSS-SDR receivers

Soltanian

ghadam

Renfors

2014

EURASIP J. Adv. Signal Process.

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In this article, we propose a low-complexity solution for the decimation chain in the digital front-end (DFE) of global navigation satellite system (GNSS) receivers. The received signals are typically highly oversampled in the DFE of GNSS receivers to reduce the ranging error and therefore to improve the positioning accuracy in the tracking stage of the GNSS receivers. However, this oversampling imposes unnecessary complexity on the acquisition stage of the GNSS receivers where an approximate estimate of the code phase and Doppler frequency shift is produced. Therefore, reducing the sampling frequency for the acquisition stage reduces the overall receiver complexity without any significant effect on the performance of such receivers. The proposed solution for the decimation chain involves the use of infinite impulse response (IIR) filters as the decimation filter as they can be implemented more efficiently in comparison to finite impulse response (FIR). In addition, a hybrid time-frequency domain filtering scheme is proposed here to alleviate the effects of non-linear phase in the decimation IIR filter as well as the analog front-end receivers. The advantages of this proposed method is explored and stated, both from performance and complexity perspectives, through rigorous comparison with alternative available solutions.

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“…The FE is clearly divided into two basic blocks, the RF stage and the IF stage, with the RF/IF downconverter acting as the interface between the two (more details are contained in [2,4,10,46,68,69]). …”

Section: Front-end Stagementioning

confidence: 99%

Software-Defined Radio Technologies for GNSS Receivers: A Tutorial Approach to a Simple Design and Implementation

Principe

Bacci

Giannetti

et al. 2011

International Journal of Navigation and Observation

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The field of satellite navigation has witnessed the advent of a number of new systems and technologies: after the landmark design and development of the Global Positioning System (GPS), a number of new independent Global Navigation Satellite Systems (GNSSs) were or are being developed all over the world: Russia's GLONASS, Europe's GALILEO, and China's BEIDOU-2, to mention a few. In this ever-changing context, the availability of reliable and flexible receivers is becoming a priority for a host of applications, including research, commercial, civil, and military. Flexible means here both easily upgradeable for future needs and/or on-the-fly reprogrammable to adapt to different signal formats. An effective approach to meet these design goals is the software-defined radio (SDR) paradigm. In the last few years, the availability of new processors with high computational power enabled the development of (fully) software receivers whose performance is comparable to or better than that of conventional hardware devices, while providing all the advantages of a flexible and fully configurable architecture. The aim of this tutorial paper is surveying the issue of the general architecture and design rules of a GNSS software receiver, through a comprehensive discussion of some techniques and algorithms, typically applied in simple PC-based receiver implementations.

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Design and implementation of a direct digitization GPS receiver front end

Cited by 56 publications

References 5 publications

A Comparison of Direct Radio Frequency Sampling and Conventional GNSS Receiver Architectures

A Comparison of Direct Radio Frequency Sampling and Conventional GNSS Receiver Architectures

Utilization of multi-rate signal processing for GNSS-SDR receivers

Software-Defined Radio Technologies for GNSS Receivers: A Tutorial Approach to a Simple Design and Implementation

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