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A method is provided for characterizing luminous celestial objects (e.g., stars) in celestial navigation of a missile system. The method includes segmenting, assigning, measuring, computing, ratioing, producing, scaling, and determining operations. Segmenting includes subdividing wavelength range in

A method is provided for characterizing luminous celestial objects (e.g., stars) in celestial navigation of a missile system. The method includes segmenting, assigning, measuring, computing, ratioing, producing, scaling, and determining operations. Segmenting includes subdividing wavelength range into discrete contiguous bins. Assigning arranges each bin into a plurality of color bands. Establishing sets a transmissivity to each bin of each color band. Computing calculates broad-based fluxes for a reference value as a reference flux. Ratioing computes a ratio between the target flux to the library flux as a color scale for each band. Squaring determines the library flux for each band as a library flux squared. Producing sums a spectral scale over the color bands, a second multiplication of the color scale and the library flux squared as a first sum product, and sums over all the bands the library flux squared as a second sum product and dividing the sum products. Scaling factors each measured intensity of the measured intensities as a scaled intensity by multiplying each target intensity by the spectral scale for each bin. Determining sums a scaled broad-band flux for each band over the bins, a third multiplication of the transmissivity and the scaled intensity.

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1. A method for characterizing luminous celestial objects in celestial navigation of a missile system, said method comprising: segmenting wavelength range into a plurality of discrete contiguous bins;assigning each bin of said plurality of bins into a plurality of color bands;establishing a transmis

1. A method for characterizing luminous celestial objects in celestial navigation of a missile system, said method comprising: segmenting wavelength range into a plurality of discrete contiguous bins;assigning each bin of said plurality of bins into a plurality of color bands;establishing a transmissivity to said each bin of each color band;measuring luminous intensity from a target object for said each bin as a plurality of measured intensities;computing broad-based fluxes for a reference value as a reference flux, said target object as a target flux estimate for said each color band, and a narrow-band library as a library flux, wherein said reference and library fluxes include summing a first multiplication of said transmissivity for said each bin and a reference luminous intensity for said each bin over said plurality of bins;ratioing said target flux to said library flux as a color scale for each said color band;squaring said library flux for each said color band as a library flux squared;producing a spectral scale by summing over said plurality of color bands a second multiplication of said color scale and said library flux squared as a first sum product, summing over said plurality of color bands said library flux squared as a second sum product and dividing first sum product by said second sum product;scaling each measured intensity of said plurality of measured intensities as a scaled intensity by multiplying each said target intensity by said spectral scale for each said bin; anddetermining a scaled broad-band flux for said each color band by summing over said plurality of bins a third multiplication of said transmissivity and said scaled intensity. 2. The method according to claim 1, further comprising: subtracting for said color band said target flux estimate from said scaled broad-band flux as a plurality of flux differences;summing for said each color band a square of each flux difference of said plurality of flux differences as a sum-square flux difference;computing for said each color band a square-root of said sum-square flux difference as a root-sum-square flux difference; anddetermining an intensity error estimate by summing over said plurality of color bands each said root-sum-square flux difference as an intensity error estimate. 3. The method according to claim 1, further comprising: subtracting for said color band said target flux estimate from said scaled broad-band flux as a plurality of flux differences;summing for said each color band a square of each flux difference of said plurality of flux differences as a sum-square flux difference;computing for said each color band a square-root of said sum-square flux difference as a root-sum-square flux difference;weighting for each color band said root-sum-square flux difference as a weighted flux difference; anddetermining an intensity error estimate by summing over said plurality of color bands each said weighted flux difference as an intensity error estimate. 4. The method according to claim 1, wherein scaling each target intensity further comprises: extrapolating a missing target intensity in said target flux estimate with a Kalman filter estimate.