Invention Grant
US5165051A Modified fast frequency acquisition via adaptive least squares algorithm
失效
通过自适应最小二乘法修改快速频率采集
- Patent Title: Modified fast frequency acquisition via adaptive least squares algorithm
- Patent Title (中): 通过自适应最小二乘法修改快速频率采集
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Application No.: US799857Application Date: 1991-11-27
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Publication No.: US5165051APublication Date: 1992-11-17
- Inventor: Rajendra Kumar
- Applicant: Rajendra Kumar
- Applicant Address: DC Washington
- Assignee: The United States of America as represented by the Administrator of the National Aeronautics and Space Administration
- Current Assignee: The United States of America as represented by the Administrator of the National Aeronautics and Space Administration
- Current Assignee Address: DC Washington
- Main IPC: H03L7/087
- IPC: H03L7/087 ; H03L7/099
Abstract:
This is a method and associated apparatus for accurately and quickly estimating the amplitude, frequency and phase of a signal of interest. The method comprises the steps of, inputting the signal of interest; generating a reference signal with adjustable amplitude, frequency and phase at an output thereof; mixing the signal of interest with the reference signal and a signal 90.degree. out of phase with the reference signal to provide a pair of quadrature sample signals comprising respectively a difference between the signal of interest and the reference signal and a difference between the signal of interest and the signal 90.degree. out of phase with the reference signal; using the pair of quadrature sample signals to compute estimates of the amplitude, frequency, and phase of an error signal comprising the difference between the signal of interest and the reference signal employing a least squares estimation; adjusting the amplitude, frequency, and phase of the reference signal from the numerically controlled oscillator in a manner which drives the error signal towards zero; and, outputting the estimates of the amplitude, frequency, and phase of the error signal in combination with the reference signal to produce a best estimate of the amplitude, frequency, and phase of the signal of interest. The preferred method includes the step of providing the error signal as a real time confidence measure as to accuracy of the estimates wherein the closer the error signal is to zero, the higher the probability that the estimates are accurate. A matrix in the estimation algorithm provides an estimate of the variance of the estimation error.
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