| 摘要 |
A Fast Fourier Transformation (FFT) processing is disclosed that measures FFT output phase standard deviation over a number of consecutive FFT runs. The system corrects FFT output phase in an organized fashion for all potential signal filter offset positions while measuring changes in phase standard deviation, and selects the filter offset where the minimum standard deviation occurs. The system utilizes pseudo coherent integration to enhance traditional integration, where the pseudo coherent integration locates the mean phase shift within the number of FFTs integrated, and corrects all FFT runs by this mean shift value. The integration multiplies the magnitude of each FFT filter output by the cosine and sums all FFTs in the integration period for the respective filter. Detections are then declared based on outputs from a combination of a single filter detector, a sum coherent and traditional detector, a filtered coherent detector, and a filtered traditional detector, thereby utilizing various blended techniques across the filter bandwidth. Pulse Doppler radar architecture is predicated on more efficient time utilization during target dwells and is achieved by using managed PRF scheduling, frequency domain Doppler ambiguity resolution, determining signal position and phase within a Doppler filter extremely accurately, performing pseudo coherent integration and use of multi-strategy detection concepts. The PRF scheduling used in this radar architecture coupled with a frequency domain approach to perform Doppler corrected pulse compression and resolve Doppler ambiguity on the same scan provides the architecture to maintain same PRF during dwell and capitalize on integration.
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