A passive intermodulation interference cancellation system and method based on recursive network
A technology of interference cancellation and passive intermodulation, applied in transmission systems, electrical components, etc.
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Embodiment 1
[0087] This embodiment specifically expounds the system composition, function realization and flow diagram of applying the "recursive network-based passive intermodulation interference cancellation system and method" of the present invention to a communication system.
[0088] figure 1 It is a schematic diagram of the system composition of "a recursive network-based passive intermodulation interference cancellation system and method" in this embodiment. From figure 1 It can be seen from the figure that in this embodiment, PIM interference suppression is accomplished only through digital implementation, and the system has strong adaptability and is easy to realize by hardware.
[0089] The system receives the double-slot signal through the feature analysis and processing module, performs signal feature analysis and preprocessing, and outputs the preprocessing signal to the recursive network estimation module and the cancellation feedback adjustment module; the recursive netw...
Embodiment 2
[0124] This embodiment has specifically set forth the learning algorithm described in step 5 of the present invention and the real-time recursive learning algorithm adopted in step E in embodiment 1, and the algorithm flow is as follows image 3 shown. From image 3 It can be seen that the specific steps of the real-time recursive learning algorithm are:
[0125] Step E.1 initialization sequence time n=1;
[0126] Step E.2 initializes the recursive network parameters;
[0127] Specific to this embodiment: initialization sequence time vector, state vector, synaptic weight vector, expected response, learning rate, error precision, and state weight vector;
[0128] Among them, the initialization sequence time vector n is 1, and the state vector x(n) at time 1, that is: x(1) is initialized to 0; the synaptic weight vector w(n) is initialized to 0; the expected response d(n ) is initialized to the amplitude value of the pilot signal; the learning rate η is initialized to 0.001; t...
Embodiment 3
[0153] According to the system flow described in Embodiment 1 and the real-time recursive learning algorithm described in Embodiment 2, this embodiment specifically explains the passive intermodulation interference cancellation results of steps 1 to 9 of the present invention for 16QAM modulated signals , and compared with the existing passive intermodulation interference cancellation results based on pilot signals, the comparison results are as follows Figure 5 shown.
[0154] Figure 5 Among them, the horizontal axis represents Eb / N0, the unit is dB; the vertical axis represents the bit error rate, the unit is bit; Figure 5 The middle circular line is the bit error rate curve subject to passive intermodulation interference; the star line is the bit error rate curve suppressed by the passive intermodulation interference obtained through steps one to step nine of the cancellation method proposed by the present invention; The dashed line is the theoretical bit error rate cu...
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