2results about How to "Avoid computation" patented technology

The application discloses an electromagnetic data matching degree calculation method, a signal processing method and a signal processing system, and belongs to the field of electronic reconnaissance. The method comprises the following steps: S1, calculating the search length of the electromagnetic signals to be matched and setting an initial displacement; S2, calculating the matching search granularity; S3, calculating the matching degrees of different displacements between the electromagnetic signals to be matched; S4, calculating a new initial displacement and a new matching search granularity; S5, repeating steps S3 to S4 until the matching degree search granularity meets the accuracy requirement or reaches a minimum value, and calculating the minimum value matching degree as the optimal matching degree of the electromagnetic signals to be matched, and completing the electromagnetic data matching when the target is detected or identified according to the matching degree. The application improves the accuracy and speed of the matching degree of the non-periodic data of the electromagnetic signals, reduces the communication amount and the calculation amount when the practical equipment is applied, makes the data matching real-time higher, consumes less resources, and guarantees the matching accuracy.

The application discloses an ISAR image adaptive quantization method based on histogram entropy, and belongs to the technical field of radars. An M*N dimension ISAR amplitude floating-point data matrix model in units of dB is firstly constructed; then a quantization boundary value coordinate axis of the ISAR image quantization is constructed; then the optimal upper and lower quantization boundaries of the ISAR amplitude data are obtained; finally, the optimal quantization image is obtained by quantization based on the obtained upper and lower quantization boundaries. The application uses the entropy of the ISAR image as an evaluation index of adaptive quantization, has universal applicability, and reduces the problem of non-uniform quantization of different targets, different resolutions and different signal-to-noise ratio environments during ISAR imaging. By using the histogram entropy of the ISAR image, the calculation amount of the entropy operation of the whole image is avoided, and only the histogram needs to be quantized, so that the operation scale of the two-dimensional image is reduced to the scale of the quantization order W, and the engineering application of real-time processing is more favorable. The histogram entropy can be used for different quantization bit numbers.