In continuous emission bistatic radar, as in the case of Noise Radar and/or Passive Radar, a large amount of data beyond the maximum range and the maximum Doppler velocity of interest can be used in the evaluation of the cross ambiguity function to guarantee a high processing gain. This work analyses a novel optimal algorithm, named Range Filter Bank (RFB), aimed to compute the ambiguity function in the delay and Doppler interval of interest, avoiding any unnecessary processing load.
Galati, G., Pavan, G., Wasserzier, C. (2019). Optimal Processing in Noise Radar: Implementation Problems. In 2019 Signal Processing Symposium (SPSympo) (pp.45-50) [10.1109/SPS.2019.8882098].
Optimal Processing in Noise Radar: Implementation Problems
Galati G.Conceptualization
;Pavan G.
Conceptualization
;
2019-01-01
Abstract
In continuous emission bistatic radar, as in the case of Noise Radar and/or Passive Radar, a large amount of data beyond the maximum range and the maximum Doppler velocity of interest can be used in the evaluation of the cross ambiguity function to guarantee a high processing gain. This work analyses a novel optimal algorithm, named Range Filter Bank (RFB), aimed to compute the ambiguity function in the delay and Doppler interval of interest, avoiding any unnecessary processing load.| File | Dimensione | Formato | |
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