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MMSE FIR Interpolation Filter. Advisor : Dr. Yung-AN Kao Student: Ying Chun Chen. Reference. Heinrich Meyr, Marc Moeneclaey, and Stefan A. Fechtel Digital Communication Receivers , John Wiley& Sons, LTD, 1997. Outlines. Introduce to MMSE Simulation
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MMSE FIR Interpolation Filter Advisor : Dr. Yung-AN Kao Student: Ying Chun Chen
Reference • Heinrich Meyr, Marc Moeneclaey, and Stefan A. Fechtel Digital Communication Receivers, John Wiley& Sons, LTD, 1997
Outlines • Introduce to MMSE • Simulation • Compare with Interpolation filter based on upsampling • Conclusion
Introduce to MMSE FIR Interpolation filter Error function as follow (1) where B is the one-sided signal bandwidth I1=N and I2=N-1 From this it follows that the number of samples should be even
Introduce to MMSE FIR Interpolation filter To obtain the minimum (2) (3) R =RH (4) R is Toeplitz matrix
Frequency Response Interpolation filter by LSE Passband 0.15 Stopband 0.25 Interpolation filter coefficient length 10 Cutoff frequency 0.2 MMSE Interpolation filter B=0.375 N=5 Delay information =0.4
Frequency Response Interpolation filter by LSE Passband 0.15 Stopband 0.25 Interpolation filter coefficient length 10 Cutoff frequency 0.2 MMSE Interpolation filter B=0.375 N=5 Delay information =0.4
Error Performance Interpolation filter by LSE Passband 0.15 Stopband 0.25 Interpolation filter coefficient length 10 Cutoff frequency 0.2 MMSE Interpolation filter B=0.375 N=5 Delay information =0.4
Group Delay Interpolation filter by LSE Passband 0.15 Stopband 0.25 Interpolation filter coefficient length 10 Cutoff frequency 0.2 MMSE Interpolation filter B=0.375 N=5 Delay information =0.4
Conclusion • The MMSE interpolation filter has larger error than interpolation filter by LSE in frequency domain and error performance • Complexity of Computation in MMSE interpolation filter is the same as interpolation filter by LSE.