A Parameter Estimation Method Based on Undersampling Bi-phase Coded Signal
A bi-phase encoding and parameter estimation technology, which is applied in the field of parameter estimation of bi-phase encoding signals, can solve the problem of high sampling rate and achieve the effect of reducing pressure
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specific Embodiment approach 1
[0033] Specific embodiment one: a kind of parameter estimation method based on the bi-phase encoded signal of subsampling comprises the following steps:
[0034] Aiming at the parameter estimation problem of BPSK signal, the present invention proposes an under-sampling method based on multi-channel parallel structure. The sampling structure proposed by the method of the present invention has two parts, the channel α and the channel β, which respectively realize the estimation of different parameters of the signal. The signal is multiplied by the signal in channel α to remove the modulation information, and then sampled at a low speed by the dual-channel delay sampling structure, and the signal amplitude and carrier frequency are estimated by using the rotated subspace invariant (ESPRIT) algorithm. After the signal is filtered by a low-pass filter in channel β, it is sampled at a low speed. Combined with the carrier frequency information estimated by channel α, the position and...
specific Embodiment approach 2
[0040] Specific embodiment two: the difference between this embodiment and specific embodiment one is: the expression of the signal y(t) in the step one is:
[0041]
[0042] where A is the amplitude of the signal x(t), t is the time, τ is the duration of the signal, j is the imaginary unit, is the initial phase of the signal, K is the number of segments separated by the signal x(t) due to phase jump; ξ k (t) is an intermediate variable, ξ k (t)=u(t-t k )-u(t-t k+1 ), 0≤t 1 K+1 k is the position of the discontinuity point caused by the phase mutation;
[0043] For bi-phase encoded signals, c k takes the value 0 or 1, so y(t) is written as:
[0044]
[0045] Among them, the intermediate variable It can be seen that self-multiplication removes the modulation information of the signal x(t), and y(t) can be regarded as a complex exponential signal.
[0046] Other steps and parameters are the same as those in Embodiment 1.
specific Embodiment approach 3
[0047] Specific implementation mode three: the difference between this implementation mode and specific implementation mode one or two is: in the step two, y[n] and y e The expression of [n] is:
[0048]
[0049]
[0050] Other steps and parameters are the same as those in Embodiment 1 or Embodiment 2.
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