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- W2911448447 abstract "For a Global Navigation Satellite System (GNSS) vector tracking loop (VTL), the primary drawback is that the presence of low-quality signals or even a fault in one channel (signal blockage) will affect all the channels, and possibly leading to receiver instability or loss of lock on all satellites. To solve the problem, this paper introduces a whale algorithm optimized support vector machine (WA-SVM) to detect the channel state of the vector tracking loop. The whale algorithm is employed to optimize the parameters of the SVM for higher accuracy of classification. In the design, a kind of channel’s local filter was designed and the processed innovative sequences are employed as the input vector of the WA-SVM. The output is the state of the corresponding channel (faulty or normal). The state variables of each local filter corresponding to the channel are the pseudo-range error and pseudo-range rate error, the measurement information are the code loop discriminator outputs and the frequency discriminator outputs. A trajectory with random pseudo-range and pseudo-range rate interference and low-quality signal is generated to test the method. The simulation shows the algorithm can quickly detect out the interference and control the quality of the vector tracking loop." @default.
- W2911448447 created "2019-02-21" @default.
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- W2911448447 date "2018-12-22" @default.
- W2911448447 modified "2023-10-07" @default.
- W2911448447 title "The Whale Algorithm Optimized Support Vector Machine for Channel Quality Control of GNSS Vector Tracking Loop" @default.
- W2911448447 hasPublicationYear "2018" @default.
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