Digital background calibration for timing mismatch in time-interleaved ADCs

Chen, H.-H.; Lee, J.; Chen, J.-T.

doi:10.1049/el:20063387

Cited by 8 publications

(10 citation statements)

References 4 publications

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“…where /2 denotes the number of subbands in (0, N /2), is the -th band's energy coefficient and ∼U (10,50), is the width of subband and it is set as = 40MHz, is the -th band's time offset and ∼U(0, 2uS), and is the -th band's carrier frequency and ∼U(0, 2GHz). In the following experiments, N = 2GHz, ADC = 480MHz, = 6 = 25 and additive Gaussian noise is added to the original signal ( ).…”

Section: Resultsmentioning

confidence: 99%

“…The mismatch among sub-ADCs, such as bias, gain, and timing skew mismatch, will deteriorate the signal reconstruction performance of TIADC, so does the multi-coset sampling system. Although many methods have been proposed to compensate the mismatch [10,11], this will bring about a large amount of work on calibration.…”

Section: Traditional Parallelmentioning

confidence: 99%

“…Its overall sampling rate can be less than the Nyquist rate, so it can reduce the cost of sampling circuit in terms of price and power consumption. However, the mismatch among sub-ADCs in TIADC, such as bias, gain, and timing skew mismatch, is still a problem for multi-coset sampling [10,11]. Moreover, temperature variation and aging may aggravate the mismatch continuously.…”

Section: Introductionmentioning

confidence: 99%

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Wideband Sparse Signal Acquisition Based on Serial Multi-Coset Sampling

Liu

Wang

2018

Mathematical Problems in Engineering

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Traditional parallel multi-coset sampling (MCS), which has several sub-Analog-to-Digital-Converters (sub-ADCs) working parallelly, is an attractive sub-Nyquist sampling technique for wideband sparse signals. However, the mismatch among sub-ADCs in traditional parallel MCS, such as bias, gain, and timing skew mismatch, degrades the signal acquisition performance greatly. In this paper, a serial MCS scheme based on clocking single ADC with nonuniform clock is proposed. The nonuniform sampling clock is generated by a pseudo-random binary sequence generator. An additional Sample/Hold (S/H) is used to improve the analog bandwidth of the serial MCS. Moreover, universal sampling pattern is designed for the proposed serial MCS. The sampling pattern design should not only maximize the Kruskal rank of compressed sensing matrix but also take the ADC’s sub-Nyquist sampling rate into consideration. Numeral experiments are presented demonstrating that the mismatch among sub-ADCs in traditional parallel MCS degrades the reconstruction performance greatly, and the proposed serial MCS can avoid the mismatch tactfully.

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Section: Resultsmentioning

confidence: 99%

Section: Traditional Parallelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Wideband Sparse Signal Acquisition Based on Serial Multi-Coset Sampling

Liu

Wang

2018

Mathematical Problems in Engineering

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“…In TIADC systems, channel mismatches seriously degrade the signalto-noise and distortion ratio (SNDR) and spurious-free dynamic range (SFDR) [18,19,20,21,22,23,24,25,26,27,28,29]. In published literature, studies of TIADC are based on the effects of channel mismatches on the spectrum or dynamic performance such as SNDR and SFDR [14,16,17,18,19,20,21,22,23,24,25,26,27,29,30,31,32]. Under the condition of large bandwidth, it is impossible to eliminate channel mismatches completely.…”

Section: Introductionmentioning

confidence: 99%

Analysis of TIADC channel mismatch effects on high-resolution range profile

Xiao

Zhang

2020

IEICE Electron. Express

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The wideband echo signals of the imaging radar can be processed by pulse compression to obtain high-resolution range profile (HRRP). The resolution of HRRP is proportional to the signal bandwidth. The pursuit of high resolution makes the bandwidth of radar transmitting signal larger and larger. And the corresponding sampling rate of receiver becomes so high that analog-to-digital conversion cannot be realized by a single chip correctly. Time-interleaved analog-to-digital converter (TIADC) technique increases sampling rate of radar receiver, but channel mismatches are brought in. Channel mismatches significantly deteriorate the dynamic performance of radar receiver. Effects of channel mismatch on SNR, SNDR and SFDR are studied in previous literatures. Derivation and simulation of TIADC channel mismatch effecting on HRRP are performed in this letter. Simulation results show that without considering the amplitude-frequency distortion and phase-frequency distortions of the radar system, when the gain mismatch is less than 0.7 times and the clock mismatch is less than 0.25 rad, the influence of the channel mismatch on the HRRP can be neglected. The results provide a reference for system design and compensation method, which are useful for the designer to determine whether complex channel mismatch calibration is necessary under specific application background.

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“…Re-cently, a sparse multiband signal detector is proposed based on parallel MCS structure by utilizing the linear relation between the locations of nonzero frequencies and the Fourier Transform of the undersampled signals [5]. As mismatch among sub-ADCs, mainly offset mismatch, gain mismatch, and sampling clock skew, degrades the Spurious Free Dynamic Range (SFDR) of a TIADC system [6,7], the mismatch can also severely impact the spectrum sensing performance of sampling structure based on parallel MCS.…”

Section: Introductionmentioning

confidence: 99%

Wideband spectrum sensing based on serial multi-coset sampling for cognitive radio

Liu

Huang

Wang

2018

IEICE Electron. Express

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In this letter, a wideband spectrum sensing method is proposed for cognitive radio. Firstly, a serial Multi-Coset Sampling (MCS) structure is designed to avoid the mismatch among sub-Analog-to-Digital Converters (ADC) in traditional parallel MCS. Moreover, a five-step spectrum sensing method is presented based on finite resolution power spectral density estimation and energy detection. Finally, sampling pattern design is proved to be a minimal circular sparse ruler problem with an additional constraint. Simulations show that the serial MCS exhibits outstanding detection performance for signals with SNR higher than −3 dB when the number of samples per coset is greater than 1400.

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Digital background calibration for timing mismatch in time-interleaved ADCs

Cited by 8 publications

References 4 publications

Wideband Sparse Signal Acquisition Based on Serial Multi-Coset Sampling

Wideband Sparse Signal Acquisition Based on Serial Multi-Coset Sampling

Analysis of TIADC channel mismatch effects on high-resolution range profile

Wideband spectrum sensing based on serial multi-coset sampling for cognitive radio

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