strong interference
2 stories filed under strong interference on World Data Ocean. The newest of them: “A new adaptive method sharpens hydrophone accuracy against noise and interference” and “Enhanced Bearing Estimation for Weak Underwater Targets Amid Interference”. Direction-finding precision has always been a trade-off between noise tolerance and interference rejection. Weak-target bearing estimation in the South China Sea no longer demands blind guesswork. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to… The list below is every strong interference story on World Data Ocean, newest first.
A new adaptive method sharpens hydrophone accuracy against noise and interference
Direction-finding precision has always been a trade-off between noise tolerance and interference rejection. This new adaptive method, combining Bearing-Inner-Product Accumulation with bearing threshold constraints, directly tackles that weakness. By adaptively selecting the most coherent frequency points and using a signal quality factor to refine the spatial filter, it sustains accuracy even as signal-to-noise ratios shift. Field tests in the South China Sea confirm the improvement: root mean square error dropped to 7.46°, a 56.1% reduction over the Conventional Statistical method.
Enhanced Bearing Estimation for Weak Underwater Targets Amid Interference
Weak-target bearing estimation in the South China Sea no longer demands blind guesswork. This study pairs square-root cubature Kalman filtering with adaptive bearing interval constraints, cutting root mean square error from 121.67° to 14.72° under interference-to-signal ratios near 3 dB. That is a measurable leap in ocean intelligence. The method's precision matters most when broadband signal-to-noise ratios hover near -2 dB. For readers tracking subsurface acoustics, related work on RAP-based mooring systems offers complementary insight into long-range detection challenges.