Papers
1
Total Citations
19
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1
About
Jianqiu Sun is a leading researcher in underwater acoustic communication and signal processing, with a focus on combating the severe multipath interference that plagues underwater channels. His most-cited work, "A Novel CMA+DD_LMS Blind Equalization Algorithm for Underwater Acoustic Communication" (2020), introduces a hybrid blind equalization technique that combines the constant modulus algorithm (CMA) with decision-directed least mean square (DD_LMS) to significantly improve symbol recovery and system reliability. This contribution addresses a critical bottleneck in underwater data transmission, enabling more robust communication in challenging environments. With 19 citations, the paper has already influenced subsequent studies in adaptive equalization and underwater networking. Sun’s research bridges theoretical algorithm design and practical deployment, offering tangible solutions for sonar, autonomous underwater vehicles, and ocean monitoring systems. His work is particularly notable for its emphasis on blind equalization—a key approach when training sequences are unavailable—making it highly relevant for real-world, bandwidth-limited underwater links. Sun continues to advance the field by refining adaptive filtering techniques and exploring their integration with emerging underwater communication standards.
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