This paper compared the differences between monostatic SAR and bistatic SAR by introducing the spatial spectrum theory. The signal models of different radar systems are analyzed. The SAR image processing is considered...
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ISBN:
(纸本)9781849199940
This paper compared the differences between monostatic SAR and bistatic SAR by introducing the spatial spectrum theory. The signal models of different radar systems are analyzed. The SAR image processing is considered as a Fourier transformation in the spatial spectrum where the SAR echo corresponds to the sampling point. Three kind of SAR system are simulated using method of moment which ensures the authenticity of the simulations. The bistatic SAR can get lower frequency component than monostatic SAR and its resolution will be lower in twodimension condition.
Because of working in L band, geosynchronous synthetic aperture radar interferometry (GEO InSAR) and differential interferometry (GEO D-InSAR) system is sensitive to the interferometric phase screen errors introduced ...
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ISBN:
(纸本)9781849199940
Because of working in L band, geosynchronous synthetic aperture radar interferometry (GEO InSAR) and differential interferometry (GEO D-InSAR) system is sensitive to the interferometric phase screen errors introduced by ionosphere. However, conventional ionosphere time-spatial freezing model used in Low Earth Orbit (LEO) SAR is no longer valid due to the long integration time and large imaging width of GEO SAR. In this paper, especially aimed at the time-spatial background ionosphere variation, we firstly theoretically analyzed its impacts on GEO InSAR phase screen. Then, some simulations were conducted by virtue of the real Total Electron Content (TEC) data to study the impacts. The results suggest the serious errors will be brought in the GEO InSAR phase screen by the time-spatial background ionosphere variation.
The imaging in geosynchronous synthetic aperture radar (GEO SAR) is more difficult than that of the conventional low earth orbit (LEO) SAR. This paper discusses the problems in GEO SAR imaging, reviews the previous st...
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During the tracking process of infrared (IR) multi-targets, sometimes there exists occlusion of targets in a short time, which leads to target losing in subsequent tracking. In order to improve the accuracy of detecti...
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ISBN:
(纸本)9781849199940
During the tracking process of infrared (IR) multi-targets, sometimes there exists occlusion of targets in a short time, which leads to target losing in subsequent tracking. In order to improve the accuracy of detecting and the robustness of tracking, we propose to detect moving IR targets utilizing the correlation of their tracks and adopt the Kalman Filter model to do tracking. Both the detecting and tracking algorithms are implemented on a FPGA system. In order to lower the computational cost, the features of the targets are stored in the memory instead of the whole frame image. Experimental results indicate that the proposed method is effective to address the drawbacks of the short-time occlusion of targets efficiently with high speed.
As the common method using JTAG to update the programs of DSP and FPGA is limited by the environment and equipment, there is a need for remote updating. This paper proposes a method based on RS-422 serial communicatio...
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ISBN:
(纸本)9781849199940
As the common method using JTAG to update the programs of DSP and FPGA is limited by the environment and equipment, there is a need for remote updating. This paper proposes a method based on RS-422 serial communication and HDLC protocol. Comparing with other remote updating methods, it is fast, stable and easy to be implemented. Apart from this, we design a system to verify the method. At last, we do an experiment to show the full process.
In practical applications, target detection and tracking requires both high detection accuracy and good real-time performance, especially in the case of hardware implementation. Hence, the target detection and trackin...
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ISBN:
(纸本)9781849199940
In practical applications, target detection and tracking requires both high detection accuracy and good real-time performance, especially in the case of hardware implementation. Hence, the target detection and tracking algorithm should be simple and effective and the hardware needs to be powerful enough to meet the real-time requirement. In this paper, we proposed a moving target detection and tracking method based on fast corner detection and frame subtraction under dynamic background. An emerging eight-core DSP, i.e., TMS320C6678, is then adopted for the implementation of the proposed algorithm. Since it is multi-core, the algorithm can be divided into several small tasks executed in different cores simultaneously, which save running time dramatically. Experimental results show that the proposed method has good detection and tracking performance and TMS320C6678 is able to realize real-time tracking of the moving car under the dynamic background.
A novel adaptive real-time image compression framework based on TMS320C6713 is presented in this paper. Via analyzing image texture, different compression ratio is applied for reducing the code stream. Owing to its lo...
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ISBN:
(纸本)9781849199940
A novel adaptive real-time image compression framework based on TMS320C6713 is presented in this paper. Via analyzing image texture, different compression ratio is applied for reducing the code stream. Owing to its low-cost, highspeed and low power performances, C6713 is selected as the main processor of framework. Firstly, the original image is transformed through lifting wavelet transform algorithm. Then, the resultant transformed data is encoded with zero tree wavelet, thereby completing the compression of 320x256 image with input bandwidth 2.34MB/s and output bandwidth 100kB/s. Moreover, the experimental results demonstrate that the adaptive image ratio can reach 25:1 with PSNR 30 and frame frequency can achieve 25fps with a high-speed processor.
The sound recognition is considered as an effective tool to improve the performance of man-machine interaction. However, because of the non-ideal effect during the propagation and the extensive variation range of soun...
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ISBN:
(纸本)9781849199940
The sound recognition is considered as an effective tool to improve the performance of man-machine interaction. However, because of the non-ideal effect during the propagation and the extensive variation range of sound signal, it is quite difficult to achieve high accuracy target sound recognition for conventional sound recognition methods. In order to improve the performance of sound recognition, a robust sound recognition method based on human auditory bionic processing is proposed in this paper. In the proposed method, by analyzing the major function of human auditory system, the mathematical model of human auditory system is firstly developed to simulate the sound propagation in human auditory physiological processing. Then by extracting the muti-dimensional eigenvectors of the auditory spectrum, the feature of target sound signal is obtained. Afterwards, the recognition and classification of sound signal is achieved by the back-propagation (BP) neural network method. Based on the simulation of actual sound signal, it is verified that the proposed method can effectively simulate the sound propagation and achieve desirable sound recognition performance under noise condition.
For ground penetrating radar (GPR), clutter suppression effect has an important role on target detection. Approaches based on minimal entropy, the signal to clutter ratio (SCR) and image contrast are widely used for a...
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ISBN:
(纸本)9781849199940
For ground penetrating radar (GPR), clutter suppression effect has an important role on target detection. Approaches based on minimal entropy, the signal to clutter ratio (SCR) and image contrast are widely used for assessment. These traditional approaches have inevitable defects. Such as, minimum entropy and image contrast methods lead to inaccurate image evaluation under the cases of heavy clutter. SCR method will be influenced by subjective feeling. This paper presents an adaptive SCR evaluation method. This method can evaluate clutter cancellation effect quantitatively without being influenced by subjective factors.
A wideband PAR (Phased Array Radar) implementation framework based on wide band digital intermediate frequency is proposed for aperture full time problem. A method compensating the aperture full time by digital stretc...
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ISBN:
(纸本)9781849199940
A wideband PAR (Phased Array Radar) implementation framework based on wide band digital intermediate frequency is proposed for aperture full time problem. A method compensating the aperture full time by digital stretch processing for chirp signal is presented. A compensation approach for RF channels phase consistency using phase adjustment of digital oscillator is also given. Experiment results based on hardware system indicate that the method is effective and engineering realizable.
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