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Haijun Shao
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2020 – today
- 2024
- [c5]Haijun Shao, Rui Paulo Martins, Pui-In Mak:
23.4 A 167 μW 71.7dB-SFDR 2.4GHz BLE Receiver Using a Passive Quadrature-Front-End, a Double-Sided Double-Balanced Cascaded Mixer and a Dual-Transformer-Coupled Class-D VCO. ISSCC 2024: 406-408 - 2022
- [j9]Haijun Shao, Gengzhen Qi, Pui-In Mak, Rui Paulo Martins:
A 1.7-3.6 GHz 20 MHz-Bandwidth Channel-Selection N-Path Passive-LNA Using a Switched-Capacitor-Transformer Network Achieving 23.5 dBm OB-IIP₃ and 3.4-4.8 dB NF. IEEE J. Solid State Circuits 57(2): 413-422 (2022) - [j8]Haijun Shao, Pui-In Mak, Gengzhen Qi, Rui Paulo Martins:
A 266-μW Bluetooth Low-Energy (BLE) Receiver Featuring an N-Path Passive Balun-LNA and a Pipeline Down-Mixing BB-Extraction Scheme Achieving 77-dB SFDR and -3-dBm OOB-B-1 dB. IEEE J. Solid State Circuits 57(12): 3669-3680 (2022) - [j7]Haijun Shao, Gengzhen Qi, Pui-In Mak, Rui Paulo Martins:
A Low-Power Multiband Blocker-Tolerant Receiver With a Steep Filtering Slope Using an N-Path LNA With Feedforward OB Blocker Cancellation and Filtering-by-Aliasing Baseband Amplifiers. IEEE Trans. Circuits Syst. I Regul. Pap. 69(1): 220-231 (2022) - [c4]Haijun Shao, Pui-In Mak, Gengzhen Qi, Rui Paulo Martins:
A 266µW Bluetooth Low-Energy (BLE) Receiver Featuring an N-Path Passive Balun-LNA and a Pipeline Down-Mixing BB-Extraction Scheme Achieving 77dB SFDR and -3dBm OOB-B-1dB. ISSCC 2022: 400-402 - 2020
- [j6]Gengzhen Qi, Haijun Shao, Pui-In Mak, Jun Yin, Rui Paulo Martins:
A Multiband FDD SAW-Less Transmitter for 5G-NR Featuring a BW-Extended N-Path Filter-Modulator, a Switched-BB Input, and a Wideband TIA-Based PA Driver. IEEE J. Solid State Circuits 55(12): 3387-3399 (2020) - [c3]Gengzhen Qi, Haijun Shao, Pui-In Mak, Jun Yin, Rui Paulo Martins:
10.1 A 1.4-to-2.7GHz FDD SAW-Less Transmitter for 5G-NR Using a BW-Extended N-Path Filter-Modulator, an Isolated-BB Input and a Wideband TIA-Based PA Driver Achieving <-157.5dBc/Hz OB Noise. ISSCC 2020: 172-174
2010 – 2019
- 2019
- [j5]Tian Dai, Lingjuan Miao, Haijun Shao, Yongsheng Shi:
Solving Gravity Anomaly Matching Problem Under Large Initial Errors in Gravity Aided Navigation by Using an Affine Transformation Based Artificial Bee Colony Algorithm. Frontiers Neurorobotics 13: 19 (2019) - [j4]Tian Dai, Lingjuan Miao, Haijun Shao:
A robust underwater navigation method fusing data of gravity anomaly and magnetic anomaly. Int. J. Syst. Sci. 50(4): 679-693 (2019) - [j3]Pan Xue, Yilei Shen, Dan Fang, Chenyang Wang, Haijun Shao, Ting Yi, Xiaoyang Zeng, Zhiliang Hong:
A 2-D Predistortion Based on Profile Inversion for Fully Digital Cartesian Transmitter. IEEE Trans. Very Large Scale Integr. Syst. 27(1): 47-56 (2019) - 2018
- [j2]Haijun Shao, Lingjuan Miao, Weixi Gao, Jun Shen:
Ensemble Particle Filter Based on KLD and Its Application to Initial Alignment of the SINS in Large Misalignment Angles. IEEE Trans. Ind. Electron. 65(11): 8946-8955 (2018) - [c2]Pan Xue, Haijun Shao, Dan Fang, Gan Guo, Wei Che, Zhiliang Hong:
A Digital ΣΔ Modulated Class-S Transmitter with Two-Step Up-conversion and Filter-less Front End. ISOCC 2018: 27-28 - 2017
- [c1]Haijun Shao, Dan Fan, Pan Xue, Hongguang Zhang, Yilei Shen, Yumei Huang, Gan Guo, Zhiliang Hong:
A LTE digital mixer with 25% duty quadrature 4-phase clocks. ASICON 2017: 104-107 - 2016
- [j1]Xi Zhang, Lingjuan Miao, Haijun Shao:
Tracking Architecture Based on Dual-Filter with State Feedback and Its Application in Ultra-Tight GPS/INS Integration. Sensors 16(5): 627 (2016)
Coauthor Index
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