Neutral Atom Imaging Signal Inversion via Modulation Grids

The patent introduces modulation grids as an intermediary component between the ENA source and the semiconductor detector array. These grids act as a mediator that encodes spatial information about the ENA emission sources onto the detector array, enabling reliable detection and localization of ENA sources despite the presence of ultraviolet radiation interference. The modulation grids transform the direct detection problem into an encoded signal processing problem that can be solved through deconvolution algorithms.

The patent replaces traditional mechanical/optical detector components (channel multipliers, microchannel plates, diffraction filters) with a semiconductor detector array combined with computational deconvolution methods. This substitution transitions from direct optical detection to electronic detection with digital signal processing, achieving higher reliability by eliminating the vulnerability of traditional detectors to ultraviolet radiation while maintaining the ability to resolve spatial information through computational algorithms.

The patent divides the imaging problem into discrete segments by using modulation grids with specific fringe patterns that encode spatial information at different scales. The semiconductor detector array is segmented into multiple detector elements that independently record the modulated signal, allowing precise reconstruction of the source distribution through deconvolution. This segmentation enables high measurement precision while keeping each individual detector element simple.

The patent transforms the two-dimensional detector array into a three-dimensional encoding system by introducing the modulation grids with fringe patterns that vary in space. This adds a dimensional layer of encoding that carries spatial information about the ENA sources, enabling precise location determination through deconvolution algorithms that reconstruct the source distribution from the modulated detector signals.

The patent performs preliminary actions by pre-calculating and storing the modulation grid projection patterns and their corresponding frequency responses before actual ENA detection. The deconvolution algorithm uses these pre-computed references to efficiently invert the projection data during real-time or post-processing analysis, reducing the computational time required while maintaining high accuracy in recovering the emission source information.

The patent creates a computational copy of the modulation grid system through mathematical modeling of the projection operator. Instead of physically reversing the complex modulation process, the algorithm uses a simplified mathematical representation (copy) of the modulation system to invert the data through deconvolution. This copying approach maintains information accuracy while significantly reducing computational complexity and time requirements compared to direct physical inversion.