In the high-stakes battle space of the future, airborne high-energy weapons and laser targeting systems will face the daunting challenge of intercepting advanced drones and hypersonic missiles—often at blistering Mach speeds—where precision is everything and the margin for error is virtually nonexistent. A single miscalculation, a momentary distortion in a beam of light, could spell the difference between mission success and failure.
A recent scientific breakthrough may solve one of the most stubborn obstacles confronting next-generation optical systems: maintaining visual clarity through the violent, chaotic turbulence created by supersonic shockwaves.
At the heart of the problem lies the Shack–Hartmann wavefront sensor, a device originally developed to refine astronomical telescopes but now crucially important in military-grade adaptive optics.
These sensors help systems like laser weapons, surveillance platforms, and missile trackers adjust in real-time to atmospheric distortions, allowing them to “see” or beam with pinpoint precision. However, when those distortions are caused by shockwaves like a fighter jet pushing past the speed of sound, the sensor’s accuracy falls apart.
Backed by the Office of Naval Research, a team of aerospace researchers from the University of Notre Dame unveiled a cutting-edge algorithm that dramatically improves the accuracy of Shack–Hartmann wavefront sensors (SHWFS) accuracy in extreme aerodynamic environments.
The research, accepted for publication in the September 2025 journal Optics and Laser Technology, could have significant implications for the military’s ability to maintain laser accuracy and target clarity under supersonic conditions.
The breakthrough centers on a complex yet common problem in high-speed aerodynamics: local shockwaves that arise when air flowing over curved surfaces, like aircraft turrets or missile domes, compress rapidly and violently.
These shockwaves create steep density gradients in the air, bending and warping the path of light passing through. These changes smear or split the light beams in unpredictable ways, corrupting the data and undermining the entire adaptive optics system. This can lead to catastrophic results like misdirected high-energy lasers, blurred imaging, and compromised targeting.
Simply put, imagine trying to focus a camera lens through the heat shimmer above asphalt on a hot day—but now the shimmer is a supersonic wall of compressed air moving at hundreds of meters per second. That’s what modern sensor suites are up against.
To tackle this problem, researchers set up meticulous laboratory experiments designed to replicate real-world supersonic flow conditions. They placed a partial cylinder inside a wind tunnel and ramped up airflow until a localized shockwave formed over its surface.
A tightly collimated laser beam was then passed directly through this turbulent region. At the same time, two sensors captured the distorted wavefront: one a standard Shack–Hartmann sensor, the other a digital holography wavefront sensor (DHWFS), which measures wavefronts more directly and was treated as the gold standard for comparison.
Results confirmed long-standing suspicions that the Shack–Hartmann sensor, using its traditional reconstruction algorithm, consistently underestimated the steepness and magnitude of the optical distortions caused by the shock. Essentially, the sensors weren’t seeing the whole picture when traveling at supersonic speeds, which could be disastrous in a real-world military setting where millimeter-scale precision counts.
So, the researchers set out to fix the problem by identifying and removing the “bad data”—the individual points within the Shack–Hartmann sensor’s readings that were clearly corrupted by the shockwave.
To do this effectively, the team experimented with three advanced statistical techniques: standard deviation, kurtosis (which measures the extremity of outliers), and slope discrepancy (which gauges inconsistencies between measured and reconstructed wavefronts). Each method produced a heatmap of sorts, highlighting regions of the sensor data that were likely affected by the shock.
Once those corrupted data points were identified and excluded, researchers used mathematical interpolation—specifically spline interpolation—to create an algorithm that could fill in the gaps by “guessing” what the wavefront should have looked like in those regions. The result was a reconstructed wavefront aligned much more closely with the digital holography reference data.
The results were striking. Researchers achieved a 30% reduction in root mean square error in SHWFS wavefront measurements—a meaningful improvement in optical accuracy. In practical terms, this translates to sharper vision, more precise targeting, and better system reliability amid the chaos of supersonic flight. This enhanced ability to “see” through distortion marks a significant technological leap forward in modern warfare, where even nanometer-scale corrections can make all the difference.
Perhaps more compelling than the numbers is what this means for real-world applications. In modern warfare, speed and precision are everything. Laser-based weapons systems, in particular, demand crystal-clear optical paths even in extreme aerodynamic forces.
Whether mounted on aircraft, ships, or satellites, these systems rely on adaptive optics to counteract the blurring and bending caused by fast-moving air. If those systems can’t correct shockwave distortions accurately, their effectiveness plummets.
However, with this new correction method, future military systems may be able to maintain visual and targeting accuracy even when operating in the chaotic borderlands between subsonic and supersonic flight—regions notorious for turbulent, shock-laden airflow.
This is especially timely as the U.S. and its rivals push aggressively into the hypersonic arms race. In this domain, where vehicles travel at five times the speed of sound or faster, the problem of optical degradation from shockwaves becomes exponentially worse.
Beyond battlefield applications, the findings could also extend into aerospace exploration, astronomical imaging, and even ground-based surveillance systems that must operate through turbulent atmospheric layers.
Although the current study focused on transonic and low-supersonic conditions, the developed techniques could serve as a foundation for handling even more extreme cases.
Still, the researchers acknowledge there are limitations. The algorithm’s effectiveness decreases when a shockwave extends across the entire optical aperture, leaving no clean data to interpolate from. Future refinements may need to incorporate machine learning or more complex modeling to handle these fully obstructed scenarios.
The paper also highlights the growing sophistication of digital holography as a reference standard. While Shack Hartmann sensors are faster and more rugged—ideal for field deployment—DHWFS systems offer a more accurate, if computationally intensive, way to capture the whole shape of a distorted wavefront. By combining both, the researchers were able to not only assess the problem but also benchmark their solution in real-time.
Technologies like the Shack–Hartmann sensor, long trusted for its precision, are being pushed to their limits. This new research offers a vital lifeline, ensuring that our vision will remain clear as aircraft fly faster and missions grow more complex.
By applying advanced wavefront analysis to the persistent challenge of shockwave distortion, the U.S. Navy is clearly stating that future defense systems must be prepared to confront the growing threat of high-speed weapons—including hypersonic missiles, supersonic drones, and precision-guided munitions.
In a world where the tempo of conflict will increasingly be measured in Mach numbers, and precision is paramount, maintaining optical clarity—both in the literal and strategic sense—will be essential to preserving military superiority.
Tim McMillan is a retired law enforcement executive, investigative reporter and co-founder of The Debrief. His writing typically focuses on defense, national security, the Intelligence Community and topics related to psychology. You can follow Tim on Twitter: @LtTimMcMillan. Tim can be reached by email: tim@thedebrief.org or through encrypted email: LtTimMcMillan@protonmail.com