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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >A novel acquisition strategy for weak GNSS signals based on map criterion
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A novel acquisition strategy for weak GNSS signals based on map criterion

机译：基于映射准则的新型弱GNSS信号捕获策略

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摘要

Detecting and processing Global Navigation Satellite System (GNSS) signals indoors and in urban canyons, have gained a great deal of attention due to the problems of very weak signals and hostile environments. The detection of GNSS signals is generally based on the application of a statistical test, derived from the maximum likelihood theory. The work presented here considers a new approach to the detection of weak GNSS signals using a Bayesian technique within a scenario where the search space size is already reduced to a few tens of cells using some kind of assisted information. The search space cells are considered as candidate cells, where each candidate cell is associated with a code delay and a Doppler frequency. For each candidate cell, a posteriori probability is propagated for a fixed number of operation cycles. At the end of the process, the maximum a posterior (MAP) criterion is used to select the correct cell. Simulation results are presented indicating that the proposed method provides a significant performance advantage over other reference schemes. They include a noncoherent integration scheme and another scheme which also utilizes the posterior probabilities as decision statistics but differs in the mechanism of probability propagation.
机译：在室内和城市峡谷中，对全球导航卫星系统（GNSS）信号的检测和处理由于信号微弱和恶劣的环境而备受关注。 GNSS信号的检测通常基于最大似然理论得出的统计检验的应用。本文介绍的工作考虑了一种新的方法，即在使用某种辅助信息将搜索空间大小缩减到几十个小区的情况下，使用贝叶斯技术检测弱GNSS信号。搜索空间小区被认为是候选小区，其中每个候选小区与码延迟和多普勒频率相关联。对于每个候选单元格，后验概率在固定数量的操作循环中传播。在过程结束时，使用最大后验（MAP）标准选择正确的单元格。仿真结果表明，与其他参考方案相比，该方法具有明显的性能优势。它们包括非相干积分方案和另一种方案，该方案也利用后验概率作为决策统计量，但是概率传播的机制有所不同。

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