I-Q signal generation techniques for communication IC testing and ATE systems

Murakami, Masahiro; Kobayashi, Haruo; Mohyar, S. N.; Kobayashi, Osamu; Miki, Tsuneharu; Kojima, Jun-ya

doi:10.1109/test.2016.7805858

Cited by 18 publications

(6 citation statements)

References 6 publications

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“…We developed various DWA algorithms: Muti-BP ΔΣ ADC DWA algorithms [92], Second-order LP DWA algorithms [93,94], Complex single-BP DWA algorithm [87], Complex multi-BP DWA algorithms [95], DWA algorithms for BP ΔΣ DAC with ternary unit cells [96], DWA and self-calibration algorithms of multi-bit ΔΣ TDC [97,98].…”

Section: Dynamic Element Matching Technologiesmentioning

confidence: 99%

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How the Author's Group Came Up with Ideas in Analog/Mixed-Signal Circuit and System Area

KOBAYASHI

2024

IEICE Trans. Fundamentals

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This article reviews the author's group research achievements in analog/mixed-signal circuit and system area with introduction of how they came up with the ideas. Analog/mixed-signal circuits and systems have to be designed as well-balanced in many aspects, and coming up ideas needs some experiences and discussions with researchers. It is also heavily dependent on researchers. Here, the author's group own experiences are presented as well as their research motivations.

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Section: Dynamic Element Matching Technologiesmentioning

confidence: 99%

“…(ii) Two DACs are used in a complex BP modulator and its DWA algorithm utilizes cross-coupled order selection of unit cells in two DACs (Fig. 35) [87,95].…”

Section: Dynamic Element Matching Technologiesmentioning

confidence: 99%

How the Author's Group Came Up with Ideas in Analog/Mixed-Signal Circuit and System Area

KOBAYASHI

2024

IEICE Trans. Fundamentals

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“…However, in modern wireless communication, IQ signal modulation is standard. IQ signal is also called quadrature signal in the same direction [4]. I by in-phase(in-phase), Q by quadrature(orthogonal), and the phase difference between Q and I is 90 degrees.…”

Section: Introductionmentioning

confidence: 99%

Signal Modulation Recognition Algorithm Based on Improved Spatiotemporal Multi-Channel Network

et al. 2023

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Automatic modulation recognition (AMR) plays an essential role in modern communication systems. In recent years, various modulation recognition algorithms based on deep learning have been emerging, but the problem of low recognition accuracy has not been solved well. To solve this problem, based on the existing MCLDNN algorithm, in this paper, we proposed an improved spatiotemporal multi-channel network (IQ-related features Multi-channel Convolutional Bi-LSTM with Gaussian noise, IQGMCL). Firstly, dividing the input IQ signals into three channels, time sequence feature extraction is carried out for route I, route Q, and route IQ, respectively. For route IQ, convolution kernel (2,1) is first used to extract relevant features. Two layers of the small convolution kernel (1,3) are used to extract time sequence features further, and the three channels are used to extract features further. Then, a two-layer short-length memory network is used to extract features from time and space more effectively. Through comparison experiments, Bi-LSTM is introduced to replace one layer of LSTM, and a fully connected layer is removed to prevent overfitting. Finally, multiplicative Gaussian noise is introduced to naturally corrode the feature parameters, further improving the robustness and accuracy of the model. Experiments are carried out on three public datasets RML2016.10a, RML2016.10b, and RML2016.04C. The experiments show that the IQGMCL network has higher recognition accuracies on all datasets, especially on the RML2016.10a dataset. When the SNR is 4 dB, the recognition accuracy reaches 93.52%. When the SNR is greater than 0 dB, the average recognition accuracy reaches 92.3%, 1.31%, and 1.2% higher than the original MCLDNN network, respectively.

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“…Notice that for their generation in the audio frequency band, the benchtop audio analyzer (Audio Precision APx555B) is the industry standard and its total harmonics distortion and noise (THD+N) is less than −120 dB. Also notice that there are many technologies for high quality generation of such as multi-tone signals besides the sine signal in analog device testing systems [20,21,22,23,24,25,26,27,28,29]. We show here the proposed method is especially suitable for low-cost high-quality testing of analog devices.…”

Section: Introductionmentioning

confidence: 99%

Low distortion sine wave generator with simple harmonics cancellation circuit and filter for analog device testing

Katayama

Nakatani

Iimori

et al. 2023

IEICE Electron. Express

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This paper proposes a low-distortion sine wave generator using logic circuits and relatively simple analog filter for analog device testing. Our proposed circuit cancels 3rd-order harmonic distortion (HD3) and 5th-order harmonic distortion (HD5) by summing multiple rectangular waveforms of fundamental and higher frequencies. These rectangular waves are generated by appropriately dividing the rectangular wave from a digital automatic test equipment (ATE). The other higher order odd harmonics are removed by the following simple analog low-pass filter (LPF). We have implemented its prototype whose measurement results show the generation of a sine wave with harmonics of less than −95 dBc.

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I-Q signal generation techniques for communication IC testing and ATE systems

Cited by 18 publications

References 6 publications

How the Author's Group Came Up with Ideas in Analog/Mixed-Signal Circuit and System Area

How the Author's Group Came Up with Ideas in Analog/Mixed-Signal Circuit and System Area

Signal Modulation Recognition Algorithm Based on Improved Spatiotemporal Multi-Channel Network

Low distortion sine wave generator with simple harmonics cancellation circuit and filter for analog device testing

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