Spaceborne AIS Conflict Signal Separation Method Based on Improved Independent Component Analysis
An independent component analysis and signal separation technology, applied in channel estimation, baseband system components, electrical components, etc., can solve the problems of AIS signals not effectively separated, poor separation timeliness, poor timeliness, etc., to improve the signal separation effect, The effect of reducing the load on the star and simplifying the structure
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[0046] figure 1 It is the AIS conflict signal transceiving system model of the present embodiment, each ship has an antenna to be used for transmitting and forming the AIS signal of one GMSK modulation form, if N ships and ships of different AIS districts send N source signal S(t ), it is very likely to form conflicting signals at the spaceborne AIS receiver. The spaceborne AIS receiver receives through N antennas. Due to the linear mixing of each source signal, a blind source signal separation model is formed. The modeling is as follows:
[0047] X(t)=AS(t)+n(t),t=1,2,...,T
[0048] T is the total number of sampling points of the observation signal obtained by the conflict signal received by the antenna through the analog-to-digital converter ADC, t is the discrete time, X(t) is the known M-dimensional observation signal, and A is an unknown constant consisting of N×N The mixing matrix of , S(t) is the unknown N-dimensional source signal, and n(t) is the additive noise.
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