March 22, 2019

Guest Lecture on ‘Digital Signal Processing and Tracking Algorithms’


A Guest Lecture on ‘Biomedical DIGITAL SIGNAL PROCESSING AND TRACKING ALGORITHMS’ was delivered by Mr. Ravi Sattigeri, Senior GNSS Engineer, Honeywell Technologies, Bangalore. The event, held on 16th March, 2019, was attended by the faculty and students of the Medical Electronics department.

The Itinerary for the day was as follows:

  • Introduction of Signal processing
  • Applications of Signal processing
  • Introduction to GNSS domain
  • Hardware of GNSS receivers
  • Signal processing in GNSS receivers
  • Tracking algorithms in GNSS receivers
  • Other Signal processing areas
  • Industry expectation of Signal processing
  • Job opportunities
  • Q&A

Mr. Ravi Sattigeri started the session by giving a brief introduction to Signal processing. Having done that, he spoke about the Applications of Signal processing, Introduction to GNSS domain, Hardware of GNSS receivers, Signal processing in GNSS receivers, Tracking algorithms in GNSS receivers, Industry expectation of Signal processing and job opportunities.

Applications of Signal processing:                           

  • Telephones, CRT TVs, Radios, Antennas, Cameras
  • Mobiles, LCD/LED TVs, MP3 players, STB, Digital Cameras
  • Cloud-based solutions
  • Communication systems for the Military
  • Tracking devices for aircrafts, trains, cars and buses
  • Measurement devices, Oscilloscopes, Network Analyzers, Signal Generators

Signal processing in GNSS:

IF = Carrier (down-converted) x Code x Data
I-phase = IF x Carrier (local) x Code (local)
Q-phase = IF x Carrier (local – 90) x Code (local)
Early, Prompt, Late

Tracking Loops in GNSS:

  • Carrier doppler = Carrier lock loop (FLL, PLL)
  • Code doppler = Code locked loop (DLL)
  • Data = Code locked + Carrier locked
  • PVT = Data demodulation + Pseudorange

Some Pictures from the Guest Lecture:


  • The students understood the industry perspective of Signal processing.
  • The students also understood the used cases and case studies in the field of Signal processing.
  • The students got to know about GNSS receivers and tracking algorithms.
  • The lecture will help the students bridge the gap between the classroom and the real-world environment.