An Efficient Dual-Stage Compression Model for Maritime Safety Information Based on BeiDou Short-Message Communication

Abstract

In the context of utilizing BeiDou short-message communication (SMC) for transmitting maritime safety information, challenges arise regarding information redundancy and limited message length. To address these issues, compressing the data content of SMC becomes essential. This paper proposes a dual-stage compression model based on Beidou SMC for compressing maritime safety information, aiming to achieve efficient compression and reduce information redundancy. In the first stage, a binary encoding method (MBE) specifically designed for maritime safety information is proposed to optimize the byte space of the short messages, ensuring the accuracy, integrity, and reliability of the information. In the second stage, we propose a data compression algorithm called XH based on a hash dictionary, which efficiently compresses maritime safety information and reduces information redundancy. Different maritime data have corresponding structures and compositions, which can have a significant impact on the evaluation of compression algorithms. We create a database considering six categories of objects: waves, sea ice, tsunamis, storms, weather, and navigation warnings. Experimental results demonstrate that the proposed model achieves significant compression efficiency and performance on the maritime safety data set, outperforming other benchmark algorithms.

An Efficient Lossless Compression Algorithm for Maritime Safety Information Using Byte Encoding Network

“…The dual-stage compression method based on BeiDou SMC [46] aims to effectively compress maritime safety data and minimize data redundancy to achieve more efficient compression results. This approach utilizes a binary encoding method (MBE) specifically tailored for the byte space of primary-level short messages.…”

Association of AIS and Radar Data in Intelligent Navigation in Inland Waterways Based on Trajectory Characteristics

“…In maritime navigation situational awareness, perception data primarily originate from various sensors, such as radar, AIS, remote sensing satellites, and BeiDou [3], which is a global navigation satellite system (GNSS) similar to other GNSS systems like GPS (Global Positioning System) and GLONASS (Global Navigation Satellite System). BeiDou provides precise positioning, navigation, and timing services to users worldwide and especially prevails in passenger ships and fishing ships in China.…”