Device and method for sample frequency deviation robust estimation in complex channel environment
A technology of sampling frequency and channel environment, applied in multi-frequency code systems, shaping networks in transmitter/receiver, baseband system components, etc., to reduce chip area, reduce implementation complexity, and reduce implementation costs.
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Embodiment 1
[0039] The device for robustly estimating the sampling frequency deviation in a complex channel environment first performs circular convolution operations on the modulus values of two adjacent time-domain channel impulse responses, and then finds the position of the maximum value of the circular convolution results, and according to The position of the maximum value of the circular convolution result estimates the sampling frequency deviation.
[0040] Preferably, a device for robustly estimating sampling frequency deviation in a complex channel environment, such as Figure 4 As shown, it includes: a first FFT (Fast Fourier Transform) module, a second FFT module, a reverse operation module, a multiplier, an IFFT (Fast Inverse Fourier Transform) module, and a maximum value search module.
[0041] The first FFT module is used to perform fast Fourier transform on one |h1(i)| in the modulus values of the two adjacent channel time-domain impulse responses, and the output is den...
Embodiment 2
[0051] The method for robustly estimating the sampling frequency deviation in a complex channel environment first performs circular convolution operations on the modulus values of the two adjacent time-domain channel impulse responses, and then finds the maximum position of the circular convolution results, and according to the circular convolution The maximum position of the convolution result estimates the sampling frequency deviation.
[0052] Preferably, the method for robustly estimating the sampling frequency deviation in a complex channel environment includes the following steps:
[0053] 1. Obtain the time-domain impulse response modulus of two adjacent channels, recorded as |h1(i)| and |h2(i)|, where i=0,1...N-1, N is the fast Fourier transform points;
[0054] 2. Output |h2(i)| in reverse order, that is, output according to |h2(N-1-i)|, i=0,1...N-1;
[0055] 3. Perform N-point fast Fourier transform operations on |h1(i)| and |h2(N-1-i)|, respectively, to obtain C...
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