Using the MPM93 model, the L-band of atmospheric radiation parameters and salinity meter observation brightness temperature under different weather conditions are numerically simulated based on the microwave radiation transfer equation, and using the maximum likelihood estimation algorithm to the inversion of sea surface salinity, which research the influence of different weather conditions on the sea surface salinity retrieval value. The simulation results show that the atmospheric radiation parameters of cloud, fog and haze which considered the effects of suspended droplets are almost the same as those in clear sky, and the influence of them can be neglected. However, the influence of rainfall on atmospheric radiation parameters can’t be neglected, and the error of salinity retrieval increases obviously with the increase of rainfall rate. When the rainfall rate is fixed, the salinity inversion error decreases with the increase of sea surface temperature, and the salinity retrieval error is smaller under low salinity value. Besides, the salinity retrieval error changes decrease after increasing with the increase of sea level atmosphere temperature. Furthermore, the influence of sea surface windspeed, sea level pressure and sea level vapor density on salinity retrieval error are very small.
A digital decimation filter applied to audio Sigma-Delta ADC is designed. The filter adopts the design of multi-stage and multi-rate down sampling structure, in-band ripple of decimation filter is less than 0.06 dB overall, bandwidth is 21.6 kHz, minimum working frequency is 10 MHz. Through the innovation of filter hardware architecture design, it effectively reduces the filter circuit area and power consumption. Chip test results show that the SNR is above 87.2 dB when processing PDM signals is at the down sampling rate of 64, 4 order Sigma-Delta modulation. Designed in SMIC’s 0.13 μm CMOS process, the decimation filter area is 0.146 mm2. Filter area is reduced by 58%, and power consumption is reduced by over 60% compared with the same type decimation filters.
The authors present a time-to-digital converter based on multi-stage amplification structure. This structure consists of coarse stage and fine stage. Coarse stage utilizes delay line to get the residue which is less than a buffer’s delay. A small area and low power residue selecting logic is designed. In the fine stage, 2× time amplifier and half judger is utilized to generate 4 binary codes from MSB to LSB. Simulation in SMIC 65 nm process shows that the new structure has a high conversion speed up to 470 MS/s and power consumption is 1.3 mW at 100 MHz with the resolution of 1.44 ps and range of 736 ps. An accurate gain robust to PVT variation can be achieved with the calibration of the time amplifier, so a good integral nonlinearity is obtained.
Based on the traditional hardware implementations of Kalman filter, the authors derive and simplify the filtering formulas according to the filtering model and matrix operations, and then design underlying FPU (float point unit) needed by the filtering formulas according to the “bottom-up” design thinking, to implement the complete Kalman filter system. The Kalman filter designed by this method not only gets rid of dependence on third-party platforms and increase the portability and application areas of filtering system, but the filtering speed improves significantly than traditional matrix operation method. For a constant acceleration filtering model, this paper provides detailed data comparison between formula derivation method and traditional matrix operation method, the Kalman filter designed by this method maintains the accuracy of the previous level and achieves the computing speed 2.1 times, compared with the traditional matrix operation method.