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Ambiguity phenomenon appears in all spaceborne SAR, and degrades their image qualities. Ambiguity to signal ratio(ASR) is an important parameter for evaluating the performance of spaceborne SAR system. Accurate ASR estimate is essential for system design. In conventional ambiguity analysis methods, the antenna gain of ambiguity signal just is considered in two main section planes of the pattern. It...
The sensitivities of a Monte Carlo simulation tool (PRESTAGE) to variation of input parameters are studied. When calculating the single event upset cross-section induced by proton direct ionization, PRESTAGE calculation results significantly change with changes in the sensitive volume and passivation layer thicknesses. When calculating cross-sections induced by proton indirect ionizations, PRESTAGE...
Single-event performance of 65 nm CMOS SRAM technology was revealed by Monte-Carlo methods, with heavy ions energy ranging from 20 MeV/n to 2 GeV/n. By comparing the energy-deposition spectrums in sensitive volumes (SV) and single event upset (SEU) cross sections, it was found that secondary electrons and nuclear reactions of the 200 MeV/n incident ions have significant impact on the device response...
Single event effects (SEE) in two commercial-off-the-shelf (COTS) Ferroelectric Random Access Memory (FeRAM) technologies were investigated by heavy ions and pulsed laser irradiation. At least six SEE types were observed. The majority of the errors were caused by anomalies in the peripheral circuit, which was confirmed by the mirror SRAM technique, non-volatile test mode, and the detailed error information...
High functional complexity is leading us towards new architectures for sensing systems. Multi-tiered design is one among the many emerging alternatives. Such architectures bring new opportunities for effective system-level power management. For instance, varying one/more tier-level parameters can provide substantial end-to-end energy scaling. In this paper, we review an existing approach that shows...
Memory devices represent a key component of datacenter total cost of ownership (TCO), and techniques used to reduce errors that occur on these devices increase this cost. Existing approaches to providing reliability for memory devices pessimistically treat all data as equally vulnerable to memory errors. Our key insight is that there exists a diverse spectrum of tolerance to memory errors in new data-intensive...
Experimental evidences are presented showing obvious differences in threshold ion range for silicon-on-insulator (SOI) and bulk static random access memories (SRAMs). Single event upset (SEU) cross sections of SOI SRAMs start to decline off the Weibull curve at ion ranges of to , depending on the ion species and also the thickness of metallization layers. Whereas...
The Matched correlation filter based on FPGA is designed for quasi real-time processing of impact acceleration signal in this paper. The design integrates match-filtering algorithm with correlation algorithm, proposing matched correlation algorithm. According to this algorithm, the design uses two Radix-4 FFT modules to complete the correlation operations, using single sine wave as matching model...
Based on SD memory card, the communication & storage system of the embedded portable spectrometer was designed, so the spectrometer can save data and change the analysis model files. In the system, SD card was used to store data files, and the communication function was designed by using serial port to send the file and command and receive the file. So the system can be used to accomplish uploading...
In this paper, we present an FPGA implementation of a low complexity affine projection (AP) adaptive filtering algorithm based on a novel low complexity recursive filtering technique and filter update that is incorporated in dichotomous coordinate descent iterations. This adaptive algorithm is simple for finite precision implementation, requires small chip resources, and exhibits numerical stability...
In this paper, we present an FPGA implementation of a Recursive Least Squares adaptive filtering algorithm based on dichotomous coordinate descent iterations. The algorithm is simple for finite precision implementation, requires small chip resources, and exhibits numerical stability. For arbitrary regressors (as in antenna array beamforming), the proposed implementation allows significant increase...
In this paper, we present an FPGA implementation of a dynamically regularized recursive least squares adaptive filtering algorithm based on dichotomous coordinate descent iterations. The algorithm is simple for finite precision implementation, requires small chip resources, and exhibits numerical stability. The proposed implementation allows significant increase in the weight update rate compared...
Parallel implementation of the dichotomous coordinate descent (DCD) algorithm is proposed and analyzed. The DCD algorithm allows multiplication-free solution of the normal equations. The computational load of the algorithm is mainly due to "successful" iterations, when an iV-length auxiliary vector is updated, N being the problem size. The parallel design exploits the fact that elements...
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