【摘要】 对需实时传输的GPS(Global Position System)定位数据进行数据压缩,降低其数据传输量并最大限度地保留原GPS数据的完整性。依据GPS定位数据特性对其进行纯数字化无损预处理,引入Golomb-Rice算法并提出算法协同压缩思想。实验表明半字节编码与实时二进制算术编码协同压缩GPS数据最佳,该协同算法不仅满足GPS数据传输实时性,而且其压缩率在85%以上。本算法减少了GPS数据传输量,降低了流量成本;能适应多种类型的GPS定位数据压缩;无区域使用局限性,能够在全球任意国家中使用。更多还原

【Abstract】 To reduce the amount of data transmission and maximizely maintain the integrity of the original data,we compress the GPS positioning data for real-time transmission. The paper processes the data into a pure numerical sequence by lossless preprocessing,which is based on the features of GPS positioning data. The paper introduces Golomb-Rice algorithm and presents a collaborative compression algorithm idea. The experiment shows that the half byte coding collaborated with real-time binary arithmetic is the best. The collaborative algorithm meets the real-time transmission of GPS data,and ensures the compression rate at least85%,decreasing the GPS data transmission,reducing the traffic cost. It also can adapt to a variety of types of GPS data compression. Meanwhile,it can be used in any countries around the world without the use limitation.更多还原