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- 摘要
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- 实验方案
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[IEEE 2018 IEEE Statistical Signal Processing Workshop (SSP) - Freiburg im Breisgau, Germany (2018.6.10-2018.6.13)] 2018 IEEE Statistical Signal Processing Workshop (SSP) - A Group Invariance Approach to a Very Weak LFM Signal Detection
摘要： This paper considers the detection of a very low signal to noise ratio (SNR), linear frequency modulated (LFM) radar waveforms from data received by a wideband receiver. The optimal method involves a computationally intensive two dimensional search. Faster alternatives, include the discrete ambiguity approach to LFM detection/estimation which is computationally efficient but is well known to be applicable only at moderately high SNR, while the windowed Fourier transform can be used to detect low SNR signals, but only for quite small chirp rates. Here we utilize multiple time and frequency shifts applied to the received data to structure the problem as one of detection of a multi-channel unknown rank-one component in noise. Our method which involves only a one dimensional search over chirp rate, works at very low SNR and can handle multiple signals and interferers The generalized-likelihood ratio test (GLR), the Bayesian test are discussed and compare with the generalized coherence test. The detection performance are demonstrated through numerical simulations.
关键词： GLRT,LFM signal,rank-one signal,Bayesian test,generalized coherence
更新于2025-09-23 15:22:29
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[IEEE 2019 IEEE 4th Optoelectronics Global Conference (OGC) - Shenzhen, China (2019.9.3-2019.9.6)] 2019 IEEE 4th Optoelectronics Global Conference (OGC) - A Low-Cost Portable Optical Fiber-Based Sensor for Water Turbidity Measurement
摘要： The availability of high-resolution along-track interferometric synthetic aperture radar (ATI-SAR) data with large coverage, such as TerraSAR-X (TSX) data, motivates spaceborne ground moving target detection as an attractive alternative to conventional traffic data acquisition. In this paper, a performance analysis of ground moving targets detection by means of ATI-SAR systems and using a statistical approach is carried out on both simulated and real data. A Gaussian clutter model and a deterministic target response have been assumed. The receiver operating characteristic for the likelihood ratio test (LRT), which can be assumed as a reference best performance case, has been expressed in closed form and has been related to the deflection values, which can be exploited for assessing the improvements in the detection probability with a constant false-alarm rate. For practical applications, the performance of a generalized LRT (GLRT) has been investigated. The analysis carried out on simulated data revealed that the detection results achieved using a GLRT based on a deterministic target model are comparable with those obtained using a GLRT based on a Gaussian target model and are not significantly worse than the theoretical performance of the LRT. Finally, ground moving target detection results on TSX real data are showed.
关键词： generalized likelihood ratio test (GLRT),likelihood ratio test (LRT),Along-track interferometry (ATI),synthetic aperture radar (SAR),detection,ground moving target
更新于2025-09-23 15:19:57
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Multiple Scatterers Detection Based on Signal Correlation Eploitation in Urban Sar Tomography
摘要： This paper addresses the problem of SAR Tomographic (TomoSAR) imaging, allowing the detection of multiple scatterers in presence of partially correlated Gaussian clutter. TomoSAR is a multidimensional imaging technique that has proven its ability in localizing the scatterers, reconstructing the elevation profile of the structures on the ground (3D reconstruction) and estimating the temporal deformations and thermal dilations of the scene (5D reconstruction). In the literature statistical based TomoSAR reconstruction refers to a signal model where in each range-azimuth resolution cell one or more scatterers are interfering in presence of noise and clutter signals, modeled as zero-mean complex circular white Gaussian random vectors. In this paper, we propose to extend a generalized likelihood ratio test (GLRT) detector, proposed by the authors and denoted Fast-Sup-GLRT, to a different signal model, where a correlated clutter model is considered. Results on TerraSAR-X real data are presented.
关键词： SAR Tomography,SAR Interferometry,GLRT,Differential Interferometry,Scatterers detection
更新于2025-09-09 09:28:46