Space-time adaptive processor based on power inversion (PI) criterion can effectively suppress interference for the global navigation satellite system (GNSS) receiver when the steering vector of the GNSS signal is unk...
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Space-time adaptive processor based on power inversion (PI) criterion can effectively suppress interference for the global navigation satellite system (GNSS) receiver when the steering vector of the GNSS signal is unknown. However, existing space-time PI processing methods will introduce meter-level pseudo-code tracking biases into the GNSS receiver measurements which cause several meter-level position errors. A distortionless pseudo-code tracking space-time PI algorithm is proposed. It could not only suppress interference, but also introduce no pseudo-code tracking biases. The major novelty of the proposed method is ensuring the symmetry of the output signal's cross-correlation function by constraining coefficients. Several experiments are implemented to test the performance of the proposed algorithm. For comparison, the results of the PI algorithm and the minimumvariancedistortionlessresponse (MVDR) algorithm are also shown. Results show that for the PI algorithm and the MVDR algorithm, pseudo-code tracking biases are introduced in different experiments;however, for the proposed algorithm, there are no pseudo-code tracking biases in those experiments. As a result, the effectiveness of the proposed method is verified.
In this study, the problems, which simultaneously extract and direct positioning of multiple transmitters, are considered. Without assuming a priori knowledge of the source number, the multiple signal classification (...
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In this study, the problems, which simultaneously extract and direct positioning of multiple transmitters, are considered. Without assuming a priori knowledge of the source number, the multiple signal classification (MUSIC) algorithm is applied after using the Akaike information theoretic criteria for model order determination, while the minimumvariancedistortionlessresponse (MVDR) algorithm can be directly used to localise multiple sources that transmit unknown signals. Two methods, which combine MUSIC and MVDR with the image expansion (IE) algorithm, are proposed. The IE algorithm used in actual scenarios is based on the constant-false-alarm rate. Simulation results show that the proposed algorithms can effectively extract and accurately localise multiple transmitters.
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