Indirect learning predistortion linearized system based on Volterra series
A learning-type, pre-distortion technology, applied in the direction of improving amplifiers to reduce nonlinear distortion, etc., can solve the problems that the change of device characteristics over time cannot be compensated, the loop design is complicated, and the DC power consumption is large, and the structure is simple. , good effect, strong self-adaptive effect
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[0022] Volterra series theory is an effective mathematical tool for analyzing nonlinear systems. For a linear time-invariant system, its zero-state response is equal to the convolution of the unit impulse response h(t) with the input signal x(t):
[0023] y ( t ) = ∫ - ∞ ∞ h ( τ ) x ( t - τ ) dτ
[0024] The Volterra series model is a functional series model, which generalizes the relationship of the above form, and is used to describe nonlinear systems with memory.
[0025] According to the decomposition theorem of nonlinear dynamic systems, the nonlinear dynamic system represented by the continuous functional F( ) can always be decomposed into a linear system with memory and a nonlinear system without memory...
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