Detection and identification of stable PRI patterns using multiple parallel hypothesis correlation algorithms
First Claim
1. A linear detection method for determining correlation values associated with an estimated Pulse Repetition Interval (PRI) executed by a linear detection module of a correlation mask disposed on a digital signal processor, comprising:
- determining a correlation spread associated with a vector of Times-of-Arrival (TOA) data;
determining a delta spread associated with the correlation spread;
determining a first/next estimated PRI associated with the vector of TOA data;
determining a first/next estimated PRI vector based on the first/next estimated PRI;
determining a delta vector based on the first/next estimated PRI vector;
determining a correlation weights vector based on the delta vector;
determining a first/next correlation value based on the correlation weights vector; and
in response to there being no additional PRIs to estimate, searching the correlation values for a highest correlation.
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Abstract
A linear detection method for determining correlation values associated with an estimated Pulse Repetition Interval (PRI) executed by a linear detection module of a correlation mask disposed on a digital signal processor is provided comprising: determining a correlation spread associated with a vector of Times-of-Arrival (TOA) data; determining a delta spread associated with the correlation spread; determining a first/next estimated PRI associated with the vector of TOA data; determining a first/next estimated PRI vector based on the first/next estimated PRI; determining a delta vector based on the first/next estimated PRI vector; determining a correlation weights vector based on the delta vector; determining a first/next correlation value based on the correlation weights vector; and in response to there being no additional PRIs to estimate, searching the correlation values for a highest correlation.
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Citations
25 Claims
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1. A linear detection method for determining correlation values associated with an estimated Pulse Repetition Interval (PRI) executed by a linear detection module of a correlation mask disposed on a digital signal processor, comprising:
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determining a correlation spread associated with a vector of Times-of-Arrival (TOA) data; determining a delta spread associated with the correlation spread; determining a first/next estimated PRI associated with the vector of TOA data; determining a first/next estimated PRI vector based on the first/next estimated PRI; determining a delta vector based on the first/next estimated PRI vector; determining a correlation weights vector based on the delta vector; determining a first/next correlation value based on the correlation weights vector; and in response to there being no additional PRIs to estimate, searching the correlation values for a highest correlation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A method for determining correlation values associated with an estimated Pulse Repetition Interval (PRI) executed by a linear regression module disposed on a digital signal processor, comprising:
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receiving a vector of Times-of-Arrival (TOA) data; normalizing the vector of the TOA data; transposing the vector of the normalized TOA data; determining a weight vector; determining a scalar associated with the weight vector; determining a first/next estimated PRI; and determining a pass/fail status based on a P/F threshold. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25)
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Specification