It is difficult to directly compress the raw data of synthetic aperture radar for its low relativity. In this paper, a new algorithm is put forward. Firstly range focusing is imposed to SAR raw data, which makes it have comparative high relativity, secondly a linear prediction is performed along the azimuth, lastly block adaptive quantization is used to the prediction difference series. The experiments manifest that with same bit rate, SQNR and SDNR of the algorithm proposed in this paper surpass that of BAQ algorithm. The calculation in this paper is far less than that of compression method after range focusing advised in corresponding reference.
Based on the studying of IEEE145 international standard and achievement of hardware and software of TEDS intelligent sensor, it suggested designing an intelligent unit that wont change the input / output interface of the sensor but enables device plug-and-play. The system still can operate normally when the intelligent unit was removed. The intelligent unit includes various modules or functions, such as the logo of IEEE1415 standard device, humiture measurement, nonlinear data table, unified model as well as MCU achievement, normalized treatment and synthesis of signals, aiming to realize the normalization of sensors output signals and achieve the quick connection of test system as well as plug-and-play.
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