An Adaptive Synthesis Calibration Method for Time-Interleaved Sampling Systems

Pan, Huiqing; Tian, Shulin; Ye, Peng

doi:10.2478/v10178-010-0034-4

Cited by 31 publications

(15 citation statements)

References 11 publications

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“…The superposition of WCDMA source signals and multipath echo interference is carried into the interference cancellation module to be processed. There the multi-path echo interference was eliminated [6]. Then the processed signals are sent to the Wiener base band power amplifier for signals amplification and synchronization.…”

Section: Signal Source Generationmentioning

confidence: 99%

Research on the adaptive interference cancellation algorithms for mobile communication systems

Yong-xuan

Wang

2012

Proceedings of 2012 International Conference on Measurement, Information and Control

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Echo interference problem widely exists in various communication channels, which seriously affects the quality of communication. In this paper four adaptive interference cancellation algorithms including LMS, Sign-LMS, NLMS and Frequency domain Block LMS are proposed. These four adaptive algorithms were studied by Matlab simulation. The constellation diagrams, convergence speed, and the FPGA chip resource utilization for these four algorithms were compared and analyzed.It is found that NLMS algorithm and frequency domain block LMS algorithm are more suitable for adaptive interference cancellation system for FPGA chip.

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Section: Signal Source Generationmentioning

confidence: 99%

Research on the adaptive interference cancellation algorithms for mobile communication systems

Yong-xuan

Wang

2012

Proceedings of 2012 International Conference on Measurement, Information and Control

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“…However, the sample rates of the analog-to-digital converters (ADCs) often limit the digital signal processing (DSP) systems operating on analog inputs. Time-interleaved ADC architecture with more than one ADC is a well-known technique that can be used to increase the maximum sample rate [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. In such architecture, a fast ADC is obtained by combining slower ADCs operating in parallel.…”

Section: Introductionmentioning

confidence: 99%

A Hilbert-Transform-Based Method to Estimate and Correct Timing Error in Time-Interleaved ADCs

2015

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In time-interleaved analog-to-digital converter (ADC) architecture, offset mismatch, gain mismatch, and timing error between channels degrade the performance of time-interleaved ADCs. This paper focuses on the timing error, and proposes a simple calibration algorithm based on Hilbert transform estimate and then correct the timing error. With a cosine input, it could efficiently and accurately estimate the timing error. Fractional delay filters are developed to correct the timing errors. This simplifies the design and decreases the cost. Numerical simulations are used to verify the proposed estimation and correction algorithm.

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“…A lot of methods have been proposed to calibrate the mismatches in TIADC [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Blind calibration techniques have been researched in [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

A Statistic-Based Calibration Method for TIADC System

Yang

Tian

et al. 2015

Mathematical Problems in Engineering

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Time-interleaved technique is widely used to increase the sampling rate of analog-to-digital converter (ADC). However, the channel mismatches degrade the performance of time-interleaved ADC (TIADC). Therefore, a statistic-based calibration method for TIADC is proposed in this paper. The average value of sampling points is utilized to calculate offset error, and the summation of sampling points is used to calculate gain error. After offset and gain error are obtained, they are calibrated by offset and gain adjustment elements in ADC. Timing skew is calibrated by an iterative method. The product of sampling points of two adjacent subchannels is used as a metric for calibration. The proposed method is employed to calibrate mismatches in a four-channel 5 GS/s TIADC system. Simulation results show that the proposed method can estimate mismatches accurately in a wide frequency range. It is also proved that an accurate estimation can be obtained even if the signal noise ratio (SNR) of input signal is 20 dB. Furthermore, the results obtained from a real four-channel 5 GS/s TIADC system demonstrate the effectiveness of the proposed method. We can see that the spectra spurs due to mismatches have been effectively eliminated after calibration.

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An Adaptive Synthesis Calibration Method for Time-Interleaved Sampling Systems

Cited by 31 publications

References 11 publications

Research on the adaptive interference cancellation algorithms for mobile communication systems

Research on the adaptive interference cancellation algorithms for mobile communication systems

A Hilbert-Transform-Based Method to Estimate and Correct Timing Error in Time-Interleaved ADCs

A Statistic-Based Calibration Method for TIADC System

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