TR2017-144
A Concurrent Triple-Band Digital Transmitter Using Feedforward Noise Cancellation for Delta-Sigma Modulation
-
- "A Concurrent Triple-Band Digital Transmitter Using Feedforward Noise Cancellation for Delta-Sigma Modulation", European Microwave Conference, DOI: 10.23919/EuMC.2017.8231049, October 2017.BibTeX TR2017-144 PDF
- @inproceedings{Chung2017oct,
- author = {Chung, SungWon and Ma, Rui and Teo, Koon Hoo},
- title = {A Concurrent Triple-Band Digital Transmitter Using Feedforward Noise Cancellation for Delta-Sigma Modulation},
- booktitle = {European Microwave Conference},
- year = 2017,
- month = oct,
- doi = {10.23919/EuMC.2017.8231049},
- url = {https://www.merl.com/publications/TR2017-144}
- }
,
- "A Concurrent Triple-Band Digital Transmitter Using Feedforward Noise Cancellation for Delta-Sigma Modulation", European Microwave Conference, DOI: 10.23919/EuMC.2017.8231049, October 2017.
-
Research Area:
Abstract:
A concurrent triple-band digital transmitter architecture with relaxed RF output filter requirement is presented in this paper. With non-contiguous inter-band carrier aggregation, all digital transmitters based on delta-sigma modulation and pulse-width modulation have suffered from out-of-band noise and spurious tones, requiring extremely demanding RF output filter design. We demonstrate a feedforward noise cancellation technique in order to suppress the out-of-band quantization noise of concurrent triple-band delta-sigma modulation for the first time. An experimental prototype based on an asymmetric RF power combiner and a 5-bit 7-GS/s DAC for noise cancellation realizes concurrent triple-band transmission of LTE Advanced signals, which consist of 710 MHz, 1750 MHz, and 2510 MHz bands with 30-MHz aggregated total bandwidth. The prototype achieves better than 42-dB spurious-free dynamic range (SFDR) and -47-dBc adjacent channel power ratio (ACPR), enabled by up to 12-dB out-of-band noise suppression.
Related News & Events
-
NEWS MERL Researchers Demonstrate Intelligent Wireless Communication Technology Supported with AI Date: February 14, 2018
Where: Tokyo, Japan
MERL Contacts: Mouhacine Benosman; Philip V. Orlik
Research Areas: Communications, Electronic and Photonic Devices, Signal ProcessingBrief- MERL machine learning power amplifier and all-digital transmitter technologies that enable future intelligent wireless communications were reported at a recent press release event in Tokyo. Please see the link below for the full Mitsubishi Electric press release text.