Method and apparatus for joint space-time array signal processing
First Claim
1. A method of processing observed sensor array data to establish which among a plurality of hypotheses are true concerning said data, said data partitioned into sets of design data, each said set having a high probability of corresponding to one of said hypotheses, and test data that is to be tested for the truthfulness of each said hypothesis concerning said test data, said method comprising the steps of:
- (a) estimating the filter parameters for a plurality of differing multichannel hypothesis whitening filters from each corresponding said set of design data;
(b) filtering said time sequence of signal vectors by said plurality of hypothesis whitening filters in parallel fashion to create a corresponding plurality of data residuals, each said multichannel hypothesis filter corresponding to a temporal model of said sensor array data for a particular said hypothesis;
(c) selecting from among said data residuals the particular data residual which exhibits the greatest temporal and spatial whiteness, thereby declaring the corresponding hypothesis to be true concerning said test data.
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Abstract
Processing methods and associated hardware architectures for the spatio-temporal processing of phased array sensor signals are disclosed. The processing method employs a joint spatio-temporal domain processing approach. The disclosed method is an optimal estimation scheme which exhibits significantly reduced computational burden. Suppression of interference sources at angles-of-arrival other than the desired signal is achieved implicitly. The associated system architecture provides not only the ability to achieve good joint angle-Doppler estimates, but offers the ability to easily trade the relative performance in each domain. The disclosed approach emphasizes the use of multiple hypothesis testing with spatio-temporal whitening filters.
87 Citations
10 Claims
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1. A method of processing observed sensor array data to establish which among a plurality of hypotheses are true concerning said data, said data partitioned into sets of design data, each said set having a high probability of corresponding to one of said hypotheses, and test data that is to be tested for the truthfulness of each said hypothesis concerning said test data, said method comprising the steps of:
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(a) estimating the filter parameters for a plurality of differing multichannel hypothesis whitening filters from each corresponding said set of design data; (b) filtering said time sequence of signal vectors by said plurality of hypothesis whitening filters in parallel fashion to create a corresponding plurality of data residuals, each said multichannel hypothesis filter corresponding to a temporal model of said sensor array data for a particular said hypothesis; (c) selecting from among said data residuals the particular data residual which exhibits the greatest temporal and spatial whiteness, thereby declaring the corresponding hypothesis to be true concerning said test data. - View Dependent Claims (2, 3, 4, 5)
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6. An apparatus for detecting and processing sensor array signals comprising:
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(a) input means for converting sensor array signals into sequential sample vectors of multichannel data; (b) processing means comprising a plurality of multichannel filters operating in parallel on said sequence of vectors of multichannel data, each said multichannel filter representative of a particular signal hypothesis, each particular said multichannel filter providing as output a vector sequence which exhibits significantly greater spatial and temporal whiteness than said input sequential vectors when said input multichannel data corresponds to the hypothesis of the particular said multichannel filter; (c) decision means responsive to the outputs of said filtering means for determining which of said hypotheses is correct. - View Dependent Claims (7, 8, 9, 10)
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Specification