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Optimum Path Based Differential Coherent Integration Algorithm for GPS C/A Code Acquisition under Weak Signal Environment

机译:基于弱信号环境下GPS C / A代码采集的最佳路径基于差分相干积分算法

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Differential Coherent Integration method is an effective method for weak GPS aquisiton. But the traditional differential method has a problem that the coherent integration time could not be too long and can hardly acquire very weak GPS signal. This paper introduces an improved differential coherent integration algorithm based on optimum path method, which can find the path of the maximum sum of differential blocks by estimating every possible product of the adjacent navigation data bits. So it could overcome the influence of navigation data bit transition and the long time coherent integration can be used in the differential method. Another advantage of this new method is that the loss of the square is reduced, because of the differential operation. Simulations show that, in the weak signal environment, if the same C/N_0 and processing data length are provided, the performance of the new method is much better than the legacy half-bits method and full-bits method. With the increacing of the processing data length, the advantage of the new method on signal to noise ratio improvement is more significant.
机译:差分相干积分方法是弱GPS Aquisiton的有效方法。但传统的差异方法有一个问题,即连贯的积分时间不能太长,并且几乎不能获得非常弱的GPS信号。本文介绍了一种基于最优路径方法的改进的差分相干积分算法,其可以通过估计相邻导航数据位的每个可能的乘积来找到差分块的最大和的路径。因此,它可以克服导航数据位转换的影响,并且可以在差分方法中使用长时间的相干积分。这种新方法的另一个优点是,由于差动操作,平方的损耗降低。模拟表明,在弱信号环境中,如果提供相同的C / N_0和处理数据长度,则新方法的性能远优于传统的半比特方法和全比特方法。随着处理数据长度的增强,新方法对信噪比的优点更为显着。

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