A study of different matched filters in digital down converter

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.

[1]  Wen Biyang,et al.  New method to implement digital down converter in radar system , 2012 .

[2]  Juan F. Sevillano,et al.  On the design of receiver root-raised cosine FIR filters in high interference scenarios , 2005, IEEE Transactions on Consumer Electronics.

[3]  Thomas A. Baran,et al.  Linear Programming Algorithms for Sparse Filter Design , 2010, IEEE Transactions on Signal Processing.

[4]  Nicolae Dumitru Alexandru,et al.  Improved Nyquist filter characteristics using spline interpolation , 2009, Ann. des Télécommunications.

[5]  Frank Amoroso On the convolutional square root of a Nyquist pulse , 1994, Wirel. Pers. Commun..

[6]  T. Sansaloni,et al.  Design of Power and Area Efficient Digital Down-converters for Broadband Communications Systems , 2009, J. Signal Process. Syst..

[7]  Shyh-Jye Jou,et al.  Low-power multirate architecture for IF digital frequency down converter , 1998 .

[8]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[9]  Gang Li,et al.  A Novel Algorithm for Initial Frame Synchronization in TD-SCDMA Downlink , 2008, Information Technology Journal.

[10]  Shyh-Jye Jou,et al.  Low-power multirate IF digital frequency down converter , 1999, 1999 International Symposium on VLSI Technology, Systems, and Applications. Proceedings of Technical Papers. (Cat. No.99TH8453).

[11]  Tapio Saramäki,et al.  Optimum masking levels and coefficient sparseness for Hilbert transformers and half-band filters designed using the frequency-response masking technique , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

[12]  K. Feher,et al.  Improved modulation techniques for wireless communications: raised cosine filtered FQPSK-FQPSK(RC) , 1997 .

[13]  Cui Xiaoxin Design and Implementation of Digital Down Converter for Homenet , 2006 .

[14]  Anastasios N. Venetsanopoulos,et al.  Square‐root Nyquist FIR filter synthesis for QAM modems , 2000, Int. J. Circuit Theory Appl..

[15]  Kiyomichi Araki,et al.  Multi-Channel Multi-Stage Transmultiplexing Digital Down Converter and Its Application to RFID (ISO18000-3 mode 2) Reader/Writer , 2008, IEICE Trans. Commun..

[16]  Anastasios N. Venetsanopoulos,et al.  Square-root Nyquist FIR filter synthesis for QAM modems , 2000 .

[17]  Behrouz Farhang-Boroujeny,et al.  A Square-Root Nyquist (M) Filter Design for Digital Communication Systems , 2008, IEEE Transactions on Signal Processing.

[18]  Jr. A. Johnson Optimal linear phase digital filter design by one-phase linear programming , 1990 .

[19]  Fredric J. Harris,et al.  Multirate Signal Processing for Communication Systems , 2004 .

[20]  E. Hogenauer,et al.  An economical class of digital filters for decimation and interpolation , 1981 .

[21]  J. McClellan,et al.  A personal history of the Parks-McClellan algorithm , 2005, IEEE Signal Processing Magazine.

[22]  Jingyu Hua,et al.  A Novel Ad hoc Routing Protocol Based on Mobility Prediction , 2008 .

[23]  Peter Kabal,et al.  Generalized raised-cosine filters , 1999, IEEE Trans. Commun..