A study of different matched filters in digital down converter
Chengfeng Ruan, Jingyu Hua, Zhilong Zheng, Yuan Wu, Limin Meng
Abstract
Chengfeng Ruan, Jingyu Hua, Zhilong Zheng, Yuan Wu, Limin Meng
Abstract
The square root (SR) Nyquist filter is always used as matched filter in digital systems to minimize the intersymbol interference (ISI), where the square root raised cosine filter (SRRC) is a popular choice. However, more filter choices substantially provide the engineer more flexibility in applications. Hence, this paper employs the SRRC, SR-Nyquist filter and low pass filter (LPF) as the matched filter in digital down converter (DDC), and evaluates their performance in terms of the noise and interference cancellation. Moreover, the fix-point bit error rate (BER) simulation is carried out to make the study approaching the real-world scenarios.
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The square root (SR) Nyquist filter is always used as matched filter in digital systems to minimize the intersymbol interference (ISI), where the square root raised cosine filter (SRRC) is a popular choice. However, more filter choices substantially provide the engineer more flexibility in applications. Hence, this paper employs the SRRC, SR-Nyquist filter and low pass filter (LPF) as the matched filter in digital down converter (DDC), and evaluates their performance in terms of the noise and interference cancellation. Moreover, the fix-point bit error rate (BER) simulation is carried out to make the study approaching the real-world scenarios.
Key concepts: Raised-cosine filter, Root-raised-cosine filter, Nyquist ISI criterion, Filter (signal processing), Computer science, Anti-aliasing filter, Filter design, Intersymbol interference