哈尔滨工程大学学报2025，Vol.46Issue(10)：2084-2093,10.DOI:10.11990/jheu.202404014
面向水下航行器集群协同信息的级联编码研究
Cascade encoding method of collaborative information of underwater vehicle swarm
摘要
Abstract
This study proposes a novel approach to improve collaborative feasibility during cooperative information transmission in underwater vehicle clusters.This work explores cooperative navigation data transmission in un-manned underwater vehicle(UUV)clusters,with a focus on bandwidth-limited,low-rate,and delayed underwater acoustic channels.Concentrating on the leader in a leader-follower formation,we extracted transmission data through simulations and analyzed its characteristics.We developed hybrid structured cascaded encoding(HSCE),an innovative lossless compression approach that reduces bandwidth usage.HSCE incorporates dictionary and enco-ding tree structures:dictionary entries are kept in a binary tree,which avoids redundancy and further increases the compression ratio.The node statistics optimize processing and speed up subsequent encoding.Afterward,the initial encoding tree is constructed using this statistical information during the secondary encoding period to save encoding time.Simulations reveal that HSCE outperforms conventional methods.Specifically,it markedly reduces data re-dundancy(avg.39.5%data reduction)and meets the bandwidth requirements for decreasing the collaborative in-formation transmission of the UUV swarm.Integrated restructuring allows encryption for secure transmission.This study develops a novel paradigm for efficient and secure cooperative communication in underwater vehicle clusters,thereby improving the practicability of cooperation for UUV swarms.关键词
无人水下航行器/集群/信息传输/字典/字串表/编码树/霍夫曼树/数据压缩Key words
unmanned underwater vehicles/swarm/information processing/dictionary/lempel-ziv-welch(LZW)/coding tree/Huffman tree/data compression分类
信息技术与安全科学引用本文复制引用
张家豪,闫金金,汲赫婵..面向水下航行器集群协同信息的级联编码研究[J].哈尔滨工程大学学报,2025,46(10):2084-2093,10.基金项目
国家自然科学基金项目(42401512) （42401512）
山东省自然科学基金项目(ZR2022QD121). （ZR2022QD121）
