D
Di Wu
Researcher at Linköping University
Publications - 34
Citations - 644
Di Wu is an academic researcher from Linköping University. The author has contributed to research in topics: MIMO & Software-defined radio. The author has an hindex of 15, co-authored 34 publications receiving 622 citations. Previous affiliations of Di Wu include Hohai University & Soochow University (Suzhou).
Papers
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Proceedings ArticleDOI
Efficient Complex Matrix Inversion for MIMO Software Defined Radio
Johan Eilert,Di Wu,Dake Liu +2 more
TL;DR: A new method is proposed using programmable hardware units which not only achieves higher performance but also consumes less silicon area and can be reused for many other operations such as complex matrix multiplication, filtering, correlation and FFT/IFFT.
Proceedings Article
Implementation Aspects of Channel Estimation for 3GPP LTE Terminals
TL;DR: A channel estimation ASIC, which handles the real-time channel estimation, is presented, which boosts the throughput at feasible silicon cost by adopting a recently proposed estimation method named Approximate Linear Minimum Mean Square Error (ALMMSE).
Journal ArticleDOI
Bridging dream and reality: Programmable baseband processors for software-defined radio
TL;DR: The LeoCore architecture is presented here as an example of a baseband processor design aimed at reducing power and silicon cost while maintaining sufficient flexibility, and the challenges and solutions of radio baseband signal processing.
Proceedings ArticleDOI
Research and Improve on Secure Routing Protocols in Wireless Sensor Networks
TL;DR: The results of simulation demonstrate that the SS-LEACH algorithm not only prolongs the lifetime of wireless sensor networks effectively, but also enhances routing security strongly.
Proceedings ArticleDOI
Implementation of a programmable linear MMSE detector for MIMO-OFDM
Johan Eilert,Di Wu,Dake Liu +2 more
TL;DR: The detector is implemented using a programmable baseband processor aimed for software-defined radio (SDR) and can be adopted to reduce the computational latency of detection.