Cognitive blind equalization method for radar channel amplitude and phase correction
A phase correction and blind equalization technology, applied in the field of digital array radar, can solve problems such as complex data transmission links and complex system implementation
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Embodiment 1
[0119] First define the following simulation model to generate the data required for channel constant modular blind equalization verification:
[0120] The input signal of the cognitive equalizer is represented by the following formula:
[0121] x i ( k ) = c i ⊗ p ( k ) + ξ i ( k ) - - - ( 14 )
[0122] In the formula: k is discrete time sampling, x i (k) is the i-th channel equalizer input data; p(k) is the calibration signal input, which is a random phase modulation signal; is the discrete channel response of the i-th channel, Q is the number of channel response coefficients, ξ i (k) is the Gaussian noise...
Embodiment 2
[0135] When errors such as bit errors exist in the input data, it will affect the convergence capability of the blind equalizer, thus causing the equalizer to be unavailable. In this embodiment, data with bit errors is used to verify the cognitive ability of blind equalization, and a bit error exists at the 4000th point of the data in simulation.
[0136] Figure 6(a)-(d) shows the change of parameters in cognitive descriptor RDW. It can be seen that the equalizer diverges at the position where the bit error occurs, so that the equalizer has not yet converged to a steady state at the sampling point at the end of the data. At this time, RDW=[0,1,0,1]. Therefore, this equalizer fails. The equalizer switches to pure delay mode. Otherwise, with the obtained equalizer equalization, more harsh channel characteristics will be obtained, such as Figure 7 As shown, compared with the situation before equalization in Fig. 3(a), the performance is worse.
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