Design and Performance Evaluation of a 2.5-GSPS Digital Receiver

Chen, C.-I.H.; George, Kiran; McCormick, William S.; Tsui, J.B.Y.; Hary, S.L.; Graves, K.M.

doi:10.1109/tim.2005.847206

Cited by 35 publications

(20 citation statements)

References 4 publications

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“…In order to eliminate the effects of noise and exceptions in above experiments, we conducted another group of experiment. Considering the results of section B, we calculated SRFFT with L=4 as reference and examples (we should notice that when L=4, we need at least 4 bits to denote a twiddle factor, which are the same to approximate kernel function in [5] ). The specific experimental method is as follows:…”

Section: Results Of Dynamic Rangementioning

confidence: 99%

“…Then we can use the combination of shifting registers, adders and inverters to realize the binary multiplication in FPGA. Specific methods are shown in Table 1 [5]. Especially, additional bits ( log ) are needed to indicate the decimal during the quantification.…”

Section: Quantification Designmentioning

confidence: 99%

“…We added Hamming window into the input signal to optimize the results of experiments. Then B. Y. Tsui gave the way of 12-point kernel FFT [5] to obtain improvement. And Figure 3 shows the frequency response of the 12-point kernel FFT.…”

Section: Signal Parameters and Samplermentioning

confidence: 99%

“…Then, B. Y. Tsui proposed 4-point kernel DFT and designed a monobit wideband receiver [1][2][3][4], which was fabricated on a single chip and the instantaneous dynamic range can be 5dB. Meanwhile, the analysis in [5] proved that the approximate kernel function does not affect the estimation of the correct frequency.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Research on Monobit Frequency Measurement Algorithm with Split-radix FFT

Ji¹,

Qi²,

Yuan³

2017

dtcse

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Abstract. This paper gives a new method to calculate the split-radix fast Fourier transform (SRFFT combining radix-2 FFT with radix-4 FFT) through quantifying the twiddle factors based on the real and imaginary parts of them. Compared with the existing algorithms, 2 main advantages from the proposed algorithm have been found. 1. The average dynamic range is increased by 2.34dB from the existing algorithms when SNR reaches 20dB. 2. The dynamic ranges of the proposed algorithm are all improved under different noise environment. The simulation results verify the better effectiveness of the proposed algorithm.

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Section: Results Of Dynamic Rangementioning

confidence: 99%

Section: Quantification Designmentioning

confidence: 99%

Section: Signal Parameters and Samplermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Research on Monobit Frequency Measurement Algorithm with Split-radix FFT

Ji¹,

Qi²,

Yuan³

2017

dtcse

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show abstract

“…A classical receiver which accomplishes these requirements is a channelized receiver [3] which separates signals according to their frequencies. Recent advancements in Analog-to-Digital Converters (ADC) technology and in the speed of digital processors have made it possible to design relatively wide band digital channelized receivers [4][5][6][7]. The use of digital channelization in comparison with the analog approach allows to improve the imbalance between filters, which is one of the fundamental problems in analog receivers (digital circuitry is inherently reproducible, reliable, and accurate).…”

Section: Introductionmentioning

confidence: 99%

Implementing FFT-based digital channelized receivers on FPGA platforms

Sánchez

Garrido

López‐Vallejo

et al. 2008

IEEE Trans. Aerosp. Electron. Syst.

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This paper presents an in-depth study, implementation, and validation of Fast Fourier Transform Moreover, a simplification of the FFT algorithm, the monobit FFT, has been implemented in order to get faster real time in broadband digital receivers. To support the signal processing designer when implementing this kind of systems on FPGA platforms we have developed a design space exploration tool for FFT architectures.

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High two-signal dynamic range and accurate frequency measurement for close frequency separation wideband digital receiver using adaptive gain control and adaptive thresholding

Feiran

Chen

2020

Integration

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Design and Performance Evaluation of a 2.5-GSPS Digital Receiver

Cited by 35 publications

References 4 publications

Research on Monobit Frequency Measurement Algorithm with Split-radix FFT

Research on Monobit Frequency Measurement Algorithm with Split-radix FFT

Implementing FFT-based digital channelized receivers on FPGA platforms

High two-signal dynamic range and accurate frequency measurement for close frequency separation wideband digital receiver using adaptive gain control and adaptive thresholding

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