大规模并行信号处理架构在GPS/惯性系统中的应用

S. Kohli
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引用次数: 4

摘要

只提供摘要形式。作者考虑在GPS(全球定位系统)/惯性传感器中使用大规模并行信号处理架构,以便在几分之一秒内(与今天的数十秒相比)获取卫星信号,以及GPS-惯性同步和机械化,以扩展当前卡尔曼滤波的应用,以估计和消除连续波干扰。通过分析,得到了在干扰机存在下的C/A和p码采集结果,并通过仿真和实时数据进行了验证。在高干扰环境下的跟踪也获得了类似的数据。所有结果均使用基于霍尼韦尔GG1308 rlg的IRU和IEC GPS传感器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of massively parallel signal processing architectures to GPS/inertial systems
Summary form only given. The author considers the use of a massively parallel signal processing architecture in GPS (Global Positioning System)/inertial sensors to acquire satellite signals in fractions of a second (vs. tens of seconds today), as well as the GPS-inertial synchronization and mechanization required to extend the current application of Kalman filtering to estimating and eliminating continuous-wave jammer has also been explored. Satellite signal acquisition results based on analyses, verified by simulation and live data, have been obtained for both C/A and P-code acquisition in the presence of jammer. Similar data have been obtained for tracking in a high jamming environment. All results are with the Honeywell GG1308 RLG-based IRU and an IEC GPS sensor.<>
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