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SIH Buddyby Ganeev Singh
Dev
All problem statements
SIH26058Strong pickacceptance 4/5

Development of a Low-Power, Real-Time Adaptive Software-Defined Sonar Transmitter Payload for Autonomous Underwater Vehicles (AUVs)

Ministry of Earth Sciences (MoES) · Blockchain & Cybersecurity · Hardware

The sponsor removed every excuse — cheap parts, sanctioned sensor proxies, and an objective demo they told you would happen on an oscilloscope — so this comes down purely to whether your DMA architecture and analog stage are clean, which is exactly the kind of statement a competent embedded team should want.

What it actually is

An underwater robot maps the seafloor by sending out an acoustic pulse and listening to the echo, and the shape of that pulse decides everything — a high-frequency one gives a sharp picture but dies in muddy water, a low-frequency one travels far but comes back blurry. Right now the pulse is fixed when the vehicle is built. The ask is a transmitter that reshapes its own pulse on the fly as the water conditions change, without draining the battery.

What to build

A physical self-contained transmitter module on an embedded platform whose firmware synthesises waveforms and streams them to a digital-to-analog converter using hardware timers and direct memory access so the processor is not computing trigonometry in the critical path, supporting the modulation types named — linear frequency modulated chirps, geometric sweeps and phase-coded pulses — with a control interface where environmental inputs arrive over an ADC, from real sensors or from the potentiometers the statement explicitly permits as sensor proxies, and instantly retune the three parameters specified: bandwidth and centre frequency, pulse duration and amplitude; behind that a real analog front end with active or passive low-pass filtering and an operational amplifier, combined with digital windowing in firmware to smooth the pulse envelope and suppress sidelobes; all housed in a fabricated enclosure representing an AUV hull-slot payload pod, with the analog output taken to an oscilloscope and validated by FFT.

Smallest thing that wins the room

Put the analog output on the oscilloscope, show a clean LFM chirp and its spectrogram, then turn the muddy-estuary potentiometer and watch the centre frequency drop and the bandwidth narrow live with the FFT staying clean and sidelobe-free.

How crowded this one gets

A guess, projected from the 2025 statements — the last year where both the submission counts and the winners were published.

Quiet35–75 teams expectedroughly 1 in 28–65 wins it

Quieter than 100% of the 226 · #2 of 226 by expected field

Few teams are likely to go here. The best odds on the board come from statements like this.

Why: central ministry statements sat below the average; hardware halves the field a software statement gets.

This is a guess, not a fact

Nobody has published 2026’s numbers yet. This is an analysed estimate from last year’s pattern, so please do not take it as the truth — check the live counter on the SIH portal before you decide anything. The range covers the middle half of likely outcomes, so one statement in two lands outside it. Entry closes at 500 ideas per statement, so no range goes past that — a statement that reaches the cap fills and shuts rather than drawing an unlimited crowd. The model reads only three things a team can see before choosing — software or hardware, the theme, and what kind of body posted it — and those explain about a quarter of the variation in last year’s field sizes (R² 0.25 on held-out statements). Trust the band more than the number, and the ordering more than either. It cannot see how good your idea is, which is the part that actually decides it.

The scores

The number is the shorthand. The line under it is the reason.

What you will be writing

  • STM32 DMA and hardware-timer driven DAC streaming
  • LFM chirp and phase-coded waveform synthesis
  • Hamming / Hann / Blackman envelope windowing
  • op-amp analog front end with anti-alias low-pass filter
  • ADC-driven real-time parameter adaptation
  • FFT spectrogram validation on oscilloscope
  • Underwater acoustics
  • Embedded signal generation
  • Low-power hardware design

Prior art to read before you start

software-defined waveform synthesis · real-time adaptive pulse parameter control · DMA-driven low-power embedded architecture

Analysed by Claude Opus. Every score above is a judgment call with its reasoning attached — kindly cross-check this against the official statement on the SIH portal before your team commits to it.