Product Correlator Performance for Gaussian Random Scenes

Contained herin is a derivation of two figures of merit for evaluating the performance of a product correlator and an associated discriminator curve. The general formulas are valid for both area and one-dimensional scenes. An explicit evaluation of the formulas is presented when the correlation functions are also Gaussian. In this case, the accuracy and probability of false match are found to take very simple forms.     

Analytical and Experimental Results for Maximizing the Pull-in Range of Product Correlators

Product correlators are being developed and implemented as a means of improving the guidance capability of tactical missiles. Analytical and experimental results are presented for maximizing the pull-in range of product area correlators via investigation of the discriminator curve of the correlator. The maps used in the correlation are assumed to be sample functions from two-dimensional, zero-mean, stationary Gaussian random processes. To obtain closed-form results, the additional assumption of a Gaussian correlation function is made. These analyses and results should be applicable to a wide range of correlation systems. Implications of these results as they pertain to missile guidance are discussed.     

Satellite intercept targeting DSP algorithm design and evaluation

A unified processing approach for the detection and localization of satellites or other exoatmospheric targets is presented. Enhanced filtering and centroid determination algorithms were developed based on real-time implementation constraints, mission conditions including accuracy requirements, and signature structure. The signature structure consisted of target returns, high-frequency random noise, low-frequency structured noise, and contamination sources resulting from debris and cosmic events. Detailed signal processing analyses were performed to verify the required subsample accuracy and the sensitivity to hardware and system constraints. The resultant system design was functionally verified in a real-time breadboard processor     

Accuracy and Error Sens-itivities for Circular Scan Correlator Systems

Correlation guidance systems are being developed and implemented as a means of improving the performance of tactical and strategic missiles. Performance predictions for these systems often neglect the actual correlator structure due to the mathematical difficulties associated with analyzing practical operating correlation systems. In this paper accuracy predictions and error sensitivities to systematic error sources are presented for a circular scan correlation system using the tracking form of the modified difference squared correlation algorithm. In addition, the sine/cosine modulation required to generate the X and Y tracking commands is considered, as well as unequal range and azimuth resolution. The techniques developed to perform this analysis can be easily applied in a simplified fashion to noncircular scan systems and to correlators using a product correlation algorithm.     

Signal Detection Using Bit-Slice Microprocessors

A bit-slice microprocessor configuration is presented which is applicable to implementation of real-time signal detection algorithms. The general hardware configuration and appropriate software functions are described. General algorithms which are of wide utility in signal detection applications are discussed in the context of the defined hardware configuration. To facilitate the presentation and indicate the practicality of this system configuration, the application of the hardware configuration and software techniques to target detection for passively received signals using multiple receive beams is discussed.