Initial state vector control-based full-feedback neural network blind detection method
An initial state and neural network technology, applied in the transmitter/receiver shaping network, transmission monitoring, baseband system components, etc., can solve the problem of slow algorithm convergence speed, blind detection performance limitation, and algorithm easy to fall into a false equilibrium point and other problems to achieve the effect of improving the detection performance and speeding up the convergence speed
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[0032] Before going into details, some nouns, symbols and formulas used in the system are first defined:
[0033] P: channel order
[0034] L: equalizer order
[0035] N: the data length required by the algorithm of this scheme
[0036] q: oversampling factor
[0037] (·) H : Hermitian transpose
[0038] (·) T :Matrix transpose
[0039] The idea of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0040] Definition 1 When the noise is neglected, the receiving equation of the discrete-time channel is defined as follows
[0041] x N =SГ H (1)
[0042] Among them, the sending signal array S=[s L+P (t),...,s L+P (t+N-1)] T =[s N (t),...,s N (t-P-L)] N×(L+P+1) ,s L+P (t)=[s(t),...,s(t-L-P)] T ; Г is derived from h jj , jj=0, 1,..., the block Toeplitz matrix composed of P, [h 0 ,...,h P ] q×(P+1) is the channel impulse response, and the received data array is (X N ) N×(L+1)q =[x L (t),......
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