DocumentCode :
1615380
Title :
A Performance-Optimized Design of Receiving Filter for Non-Ideally Shaped Modulated Signals
Author :
Xing, Tengfei ; Zhan, Yafeng ; Lu, Jianhua
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing
fYear :
2008
Firstpage :
914
Lastpage :
919
Abstract :
An improved design of receiving filter for non- ideally shaped modulated signals which provides better performance than existing schemes is proposed. By concerning both Inter-Symbol-Interference (ISI) and the degree of waveform mismatch between the transmitted signal and impulse response of the receiving filter, the exact expression of the Signal-to-Noise Ratio (SNR) loss that represents the performance degradation is derived, and the performance is compared with that of the ideally shaped signals´ demodulation. The existing schemes such as root-raised-cosine (RRC) receiving filters don´t perform well for non-ideally shaped situations, since large degrees of both ISI and waveform mismatch exist. To improve the performance and avoid the complexity of applying equalizer in receivers, the proposed scheme designs the impulse response of the receiving filter by optimizing the SNR loss to the minimum value, and it uses simulated annealing as the optimization algorithm. It is shown that the new method can achieve better performance than existing schemes, especially when the modulation order or the SNR is relatively high. Finally the conclusion is validated by simulation results.
Keywords :
computational complexity; filtering theory; intersymbol interference; modulation; probability; simulated annealing; transient response; computational complexity; impulse response; inter-symbol-interference; nonideally shaped modulated signals; optimization algorithm; performance-optimized design; probability; receiving filter; signal-to-noise ratio; simulated annealing; waveform mismatch degree; Degradation; Demodulation; Design optimization; Equalizers; Filters; Intersymbol interference; Performance loss; Propagation losses; Signal design; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
Type :
conf
DOI :
10.1109/ICC.2008.179
Filename :
4533215
Link To Document :
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