Course

Unit 1

Fundamentals of Multirate Signal Processing – Nyquist and Square root Nyquist Filter –Systems using resampling filter – Quadrature Mirror Filters (QMF) – Theory and Application – Wavelet for multirate signal processing.

Unit 2

Polyphase FIR filter – Resampling Filter – Half-band Filters – Dyadic filter – Arbitrary Sampling Rate Conversion -Recursive polyphase filter – Cascade Integrator Comb Filter (CIC) – Cascade and multiple stage filters – Analog to Digital and Digital to Analog converters for SDR.

Unit 3

Application in communication systems – Conventional Digital down converters (DDC) – Aliasing DDC – Timing recovery in digital demodulation – Carrier recovery and phase recovery – Introduction to software-defined radio – Review of telecommunication concepts and systems – Analog and Digital Communication System – Front-end RF system – Link Budgets – noise – C/N and S/N ratios – Digital filtering – Signal recovery – Baseband and Band pass Sampling – Complete SDR systems – Future trends in SDR.

• Fredric J Harris, “Multirate Signal Processing for Communication Systems”, Pearson Education, 2004.
• BehrouzFarhang-Boroujeny, “Signal Processing Techniques for Software Radios”, Lulu Publishing House, 2008.
• Jeffrey H Reed, “Software Radio: A Modern Approach to Radio Engineering”, Prentice Hall PTR, 2002.

• Vaidyanathan P P, “Multirate Systems and Filter Banks”, Prentice Hall Inc., 1993.
• N. J. Fliege, “Multirate Digital Signal Processing – Multirate Systems”, Filter Banks andWavelets, John Wiley, 1994.
• Tony J. Rouphael, “RF and Digital Signal Processing for Software-Defined Radio: A Multi-Standard Multi-Mode Approach”, Elsevier Inc., 2009.
• Walter Tuttlebee, “Software Defined Radio: Origins, Drivers and International Perspectives”, John Wiley and Sons Ltd, 2002.

Evaluation Pattern

Objectives

• To understand the signal processing algorithms, filter design methods, and signal processing techniques
• To provide the design engineers with the tools necessary for efficient implementation of digital transceivers
• To focus on the multirate systems arising in the communications, especially wireless and software defined radios
• To understand software radio design and implement Multirate DSP, RF front-ends, direct digital synthesis of modulated waveforms, A/D and D/A conversion

Course Outcomes

• CO1: Able to design a resampling architecture for digital RF front end systems
• CO2: Able to design efficient filter implementations for baseband transceivers
• CO3: Able to design multirate systems for carrier, phase and timing recovery for communication receivers
• CO4: Able to implement software radio for wireless systems and sub-systems

CO – PO Mapping