Pub Date : 2022-11-16DOI: 10.1109/TSIPI.2022.3222747
Yuanzhuo Liu;Yuandong Guo;Chaofeng Li;Siqi Bai;Bichen Chen;Srinivas Venkataraman;Xu Wang;Jun Fan;DongHyun Kim
Phase noise represents signal instabilities in the frequency domain and is assessed through power measurements at various offsets from the carrier frequency. Herein, the phase noise of a clock generator is analyzed and modeled. Sources for the phase noise of the clock output at the resonance frequency are identified, including the power supply, the heatsink, and the external crystal. Low-frequency resonance is detected and validated to be caused by the external crystal grounding design. Solutions to decrease crystal-related noise are proposed and validated. In addition, the sensitivity based on the signal-to-noise ratio is proposed and verified with measurements to numerically analyze the effects of power supply noise on clock phase noise. The proposed phase noise sensitivity is extracted from the measured phase noise results and can be used to estimate the phase noise and jitter of different power supply noises. The extraction and prediction methods are validated with different buffer types, including low-voltage differential signal, high-speed current steering logic, low-voltage positive emitter-coupled logic, and low-voltage complementary metal–oxide–semiconductor, in a device under test with the given design.
{"title":"Phase Noise Analysis of Clock Generator by Using Phase Noise Sensitivity","authors":"Yuanzhuo Liu;Yuandong Guo;Chaofeng Li;Siqi Bai;Bichen Chen;Srinivas Venkataraman;Xu Wang;Jun Fan;DongHyun Kim","doi":"10.1109/TSIPI.2022.3222747","DOIUrl":"https://doi.org/10.1109/TSIPI.2022.3222747","url":null,"abstract":"Phase noise represents signal instabilities in the frequency domain and is assessed through power measurements at various offsets from the carrier frequency. Herein, the phase noise of a clock generator is analyzed and modeled. Sources for the phase noise of the clock output at the resonance frequency are identified, including the power supply, the heatsink, and the external crystal. Low-frequency resonance is detected and validated to be caused by the external crystal grounding design. Solutions to decrease crystal-related noise are proposed and validated. In addition, the sensitivity based on the signal-to-noise ratio is proposed and verified with measurements to numerically analyze the effects of power supply noise on clock phase noise. The proposed phase noise sensitivity is extracted from the measured phase noise results and can be used to estimate the phase noise and jitter of different power supply noises. The extraction and prediction methods are validated with different buffer types, including low-voltage differential signal, high-speed current steering logic, low-voltage positive emitter-coupled logic, and low-voltage complementary metal–oxide–semiconductor, in a device under test with the given design.","PeriodicalId":100646,"journal":{"name":"IEEE Transactions on Signal and Power Integrity","volume":"1 ","pages":"150-159"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67842405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-25DOI: 10.1109/TSIPI.2022.3217109
Heman Vaghasiya;Akash Jain;Jai Narayan Tripathi
The design and optimization of power delivery networks (PDNs) in very large scale integration systems are becoming very challenging with the increasing complexity of such systems. Decoupling capacitors are the key elements used in a PDN to minimize power supply noise and to maintain low impedance of the PDN to avoid system failure. In this article, a novel approach using surrogate-assisted swarm intelligence is presented for efficient and fast optimization of PDNs. For generating the surrogate models, a standard radial basis function network is used. Using the proposed approach, the decoupling capacitors are selected and placed optimally, eventually reducing the cumulative impedance of the PDN below the target impedance. The performance comparison between the conventional and the surrogate-assisted approach is presented. Three case studies are presented on a practical system to demonstrate the competence of the proposed approach. The results obtained by the proposed approach are also compared with the same obtained by the state-of-the-art approaches. For the proposed approach, the runtime is drastically reduced compared to the state-of-the-art approaches for the optimization problem without having any effect on the performance. The consistency of results in all of the case studies confirms the validity of the proposed approach.
{"title":"A Radial Basis Function Network-Based Surrogate-Assisted Swarm Intelligence Approach for Fast Optimization of Power Delivery Networks","authors":"Heman Vaghasiya;Akash Jain;Jai Narayan Tripathi","doi":"10.1109/TSIPI.2022.3217109","DOIUrl":"https://doi.org/10.1109/TSIPI.2022.3217109","url":null,"abstract":"The design and optimization of power delivery networks (PDNs) in very large scale integration systems are becoming very challenging with the increasing complexity of such systems. Decoupling capacitors are the key elements used in a PDN to minimize power supply noise and to maintain low impedance of the PDN to avoid system failure. In this article, a novel approach using surrogate-assisted swarm intelligence is presented for efficient and fast optimization of PDNs. For generating the surrogate models, a standard radial basis function network is used. Using the proposed approach, the decoupling capacitors are selected and placed optimally, eventually reducing the cumulative impedance of the PDN below the target impedance. The performance comparison between the conventional and the surrogate-assisted approach is presented. Three case studies are presented on a practical system to demonstrate the competence of the proposed approach. The results obtained by the proposed approach are also compared with the same obtained by the state-of-the-art approaches. For the proposed approach, the runtime is drastically reduced compared to the state-of-the-art approaches for the optimization problem without having any effect on the performance. The consistency of results in all of the case studies confirms the validity of the proposed approach.","PeriodicalId":100646,"journal":{"name":"IEEE Transactions on Signal and Power Integrity","volume":"1 ","pages":"140-149"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67842404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-12DOI: 10.1109/TSIPI.2022.3214172
Yuanzhuo Liu;Shaohui Yong;Yuandong Guo;Jiayi He;Chaofeng Li;Xiaoning Ye;Jun Fan;Victor Khilkevich;DongHyun Kim
The difference in the dielectric permittivity of the different dielectric layers (including air) surrounding the microstrip is one of the major contributors to the far-end crosstalk (FEXT) in microstrip lines. The dielectric of the microstrip in printed circuit boards (PCBs) fabrication usually consists of two layers: the solder mask layer and the substrate layer. The characterization of the relative permittivity ( ${boldsymbol{varepsilon }}_{boldsymbol{r}}$