Digital L-band receiver architecture with direct RF sampling

Brown, Alison; Wolt, Barry

doi:10.1109/plans.1994.303406

Cited by 34 publications

(17 citation statements)

References 1 publication

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“…Note that the range of the moderate SNR may vary according to N and the required phase accuracy in different applications. Moreover, in N = 10 5 and N = 10 6 cases, the improvement is negligible when the SNR is above 12 dB and 17 dB, respectively. As N increases to 10 7 , SNRaPD can consistently improve the accuracy to some degree for SNR below 20 dB.…”

Section: Range Of Applicationmentioning

confidence: 89%

“…In the 1-bit SDR shown in Fig. 1, let the carrier frequency f c = 15:421111 MHz, the sampling frequency f s = 4:096 MHz, and N = 10 5 . In this case, according to (3), we have p = 4096000 and 2¼=p will be significantly smaller than the estimation accuracy described later.…”

Section: Where "T" Denotes Transpose and L(á) = ¤(á)mentioning

confidence: 99%

“…Because of efficient bitwise processing and the avoidance of automatic gain control (AGC) in modern applications [3][4][5][6][7], the estimation using 1-bit ADC has induced wide interest. The prior researches related to our work are introduced as follows.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

SNR-Aided Accurate Phase Estimation in 1-Bit Software-Defined Receiver

Hsieh

Chang

Kao

2012

IEEE Trans. Aerosp. Electron. Syst.

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Section: Range Of Applicationmentioning

confidence: 89%

Section: Where "T" Denotes Transpose and L(á) = ¤(á)mentioning

confidence: 99%

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SNR-Aided Accurate Phase Estimation in 1-Bit Software-Defined Receiver

Hsieh

Chang

Kao

2012

IEEE Trans. Aerosp. Electron. Syst.

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“…This is the approach proposed by Brown for a global positioning system (GPS) 1 and 2 bands receiver that utilized an 800-MHz sampling frequency [5]. Although this is an ideal long-term solution, there is a significant obstacle to its use at the present time.…”

Section: Multiple Signal Bandpass Samplingmentioning

confidence: 99%

“…As an example, consider two signals, each with 20-MHz bandwidths centered at 1.2 and 1.6 GHz. The use of bandpass sampling would reduce the required sampling frequency to approximately 800 MHz, as has been demonstrated in [5]. However, sampling at 800 MHz still requires tremendous computational power to process the resulting samples, particularly when the desired information bandwidth is on the order of 40 MHz.…”

Section: Introductionmentioning

confidence: 99%

Direct bandpass sampling of multiple distinct RF signals

Akos

Stockmaster

Tsui

et al. 1999

IEEE Trans. Commun.

240

115

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Abstract-A goal in the software radio design philosophy is to place the analog-to-digital converter as near the antenna as possible. This objective has been demonstrated for the case of a single input signal. Bandpass sampling has been applied to downconvert, or intentionally alias, the information bandwidth of a radio frequency (RF) signal to a desired intermediate frequency.The design of the software radio becomes more interesting when two or more distinct signals are received. The traditional approach for multiple signals would be to bandpass sample a continuous span of spectrum containing all the desired signals. The disadvantage with this approach is that the sampling rate and associated discrete processing rate are based on the span of spectrum as opposed to the information bandwidths of the signals of interest.Proposed here is a technique to determine the absolute minimum sampling frequency for direct digitization of multiple, nonadjacent, frequency bands. The entire process is based on the calculation of a single parameter-the sampling frequency. The result is a simple, yet elegant, front-end design for the reception and bandpass sampling of multiple RF signals. Experimental results using RF transmissions from the U.S. Global Positioning System-Standard Position Service (GPS-SPS) and the Russian Global Navigation Satellite System (GLONASS) are used to illustrate and verify the theory.

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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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Digital L-band receiver architecture with direct RF sampling

Cited by 34 publications

References 1 publication

SNR-Aided Accurate Phase Estimation in 1-Bit Software-Defined Receiver

SNR-Aided Accurate Phase Estimation in 1-Bit Software-Defined Receiver

Direct bandpass sampling of multiple distinct RF signals

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

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