2 results about "Doppler tolerance" patented technology

This invention discloses a signal Doppler tolerance and sidelobe optimization method based on a weighted ambiguity function template. The method includes determining a discrete ambiguity function based on a two-dimensional ambiguity function of a continuous signal and a radar transmitted signal; obtaining matched filtering results for signals with different Doppler frequency shifts and determining the main lobe and sidelobe positions based on the Doppler frequency shift results; for the Doppler frequency shift case, establishing a cost function for Doppler tolerance optimization and a weighted cost function for joint optimization of Doppler tolerance and sidelobe based on the main lobe and sidelobe positions, respectively; setting the weight coefficients of the weighted cost function according to signal characteristic requirements to obtain the target cost function; and using simulation parameters for iterative updating to obtain the optimization result. This invention can improve signal Doppler tolerance while reducing signal sidelobes, significantly improving the practicality of random noise signals; and it allows for setting weight coefficients according to signal characteristic requirements to adjust the optimization ratio of signal Doppler tolerance and sidelobe, providing strong flexibility.

The application provides an m sequence optimization method for a satellite-ground integrated sensing system test, comprising the following steps: step 1, reference sequence performance evaluation: the reference performance comprises a reference peak-to-average power ratio, a reference peak-to-side lobe ratio, a reference integrated side lobe ratio and a reference Doppler tolerance; step 2, comprehensive multi-dimensional cost function construction and mixed optimization strategy: step 201, constructing a comprehensive multi-dimensional cost function capable of weighted adjustment: step 202, defining a normalization function based on the reference performance: step 203, configuring the performance on demand based on the weight coefficient: step 204, minimizing the cost function by using a mixed optimization algorithm; and step 3, generating a final integrated sensing test sequence. The application realizes the collaborative optimization of multiple key performances of communication and sensing for the first time, and can generate a special sequence with excellent comprehensive performance, which can meet the stringent integrated satellite-ground sensing system test requirements.