SBIR/STTR Research Award

Spectrum-Aware Sensor Optimized Signaling (S2OS)

Award identifier 0c38d7db0ad23c2b912374894249973ba46a308296d059d2ba5c2f67fbbb2899Awarding agency Department of Defense · Navy

Award amount

$999,783

Program and phase

SBIR · Phase II

Award year

2025

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
A10 Systems Inc. d/b/a AiRANACULUS
Proposal award date
2025-05-22
Contract end date
2027-11-29
UEI
K7G4YKXUCSE3
Solicitation number
23.2
Topic code
N232-095

Research abstract

AiRANACULUS in association with Sparton DeLeon Springs (Transition Partner) proposes an innovative Spectrum-aware Sensor Optimized Signaling (S2OS)  for data uplink information transfer improvements that can double, triple, and quadruple  the current uplink data throughput from sonobuoys with minimal increase in channel bandwidth by using Multi-User Detection (MUD) technology at the Receiver with Partially Overlapped Transmit Channels that  maximizes uplink data transfer speeds. The objective of this project is to develop a solution that enables large amounts of data to be transferred or uplinked from Anti-Submarine Warfare (ASW) sensors systems, including sonobuoy sensor systems, to airborne platform receivers. The Navy is transitioning to digital communication links for all its ASW sonobuoy sensors to aircraft information transfer. Currently, transition to digital communication links for data transfer from airborne ASW sensors, including sonobuoys, is limited by the combination of limited Radio Frequency (RF) bandwidth available to use, and the need to sample and analyze large acoustic bandwidths greater than 40 kHz for transfer over the data link. The current maximum data rate to the aircraft is 320 Kbps in one channel located in the 136 MHz-170 MHz VHF band. If the Navy wanted to get multiple hydrophones and/or wide acoustic bandwidth data from the buoy, then this narrow pipe is a constraint. We focus on selecting modulation and demodulation schemes that provide higher spectral efficiency by increasing raw data rate per given channel bandwidth while considering hardware limitations, most notably the transmit Power Amplifier (PA) efficiency. Several different modulation schemes to improve the uplink data throughput were evaluated by examining three metrics, namely, performance (BER), spectral efficiency (bits/s/Hz), and required power amplifier rating (Watts). BER performance of each modulation scheme was verified by Monte Carlo simulations. After extensive analysis and simulations, we propose the improved sonobuoy uplink radio communication system with flexible channel configuration options for deployment of sonobuoys with increased and mixed data rate capability using partially overlapped channels using Gaussian Minimum Shift Keying (GMSK) modulation and MUD receiver. Exemplary deployment scenarios show that with 2 Watt and 3 Watt PAs, data throughputs of 640 kbps over 320 kHz channel and 960 kbps over 750 kHz channel can be achieved with the same radio coverage area as the legacy 320 kbps GMSK system with 1 Watt PA. Based on these technologies that we already have proven to work, our proposal aims to improve and expand the technologies to the sonobuoy sensor signal applications. By combining efficient spectrum-aware sensor signal processing and state-of-the art interference cancelling multi-user receiver, we can achieve the goal of data throughput increase that can be demonstrated not only in the lab but also in the realistic field trials.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

16 SBIR/STTR records share this UEI (2020–2025). Reported award amounts total $9,105,161. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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