Reconstruction of Wideband Radar Signal Based on Compressed Sensing
نویسندگان
چکیده
منابع مشابه
Random Sampling and Signal Reconstruction Based on Compressed Sensing
Compressed sensing (CS) sampling is a sampling method which is based on the signal sparse. Much information can be extracted as little as possible of the data by applying CS and this method is the idea of great theoretical and applied prospects. In the framework of compressed sensing theory, the sampling rate is no longer decided in the bandwidth of the signal, but it depends on the structure a...
متن کاملRandom Sampling and Signal Bregman Reconstruction Based on Compressed Sensing
Compressed sensing (CS) sampling is a sampling method which is based on the signal sparse. Much information can be extracted from as little as possible of the data by applying CS, and this method is the idea of great theoretical and applied prospects. In the framework of compressed sensing theory, the sampling rate is no longer decided in the bandwidth of the signal, but it depends on the struc...
متن کاملDOA Estimation for Underwater Wideband Weak Targets Based on Coherent Signal Subspace and Compressed Sensing
Direction of arrival (DOA) estimation is the basis for underwater target localization and tracking using towed line array sonar devices. A method of DOA estimation for underwater wideband weak targets based on coherent signal subspace (CSS) processing and compressed sensing (CS) theory is proposed. Under the CSS processing framework, wideband frequency focusing is accompanied by a two-sided cor...
متن کاملCompressed Wideband Spectrum Sensing Based on Discrete Cosine Transform
Discrete cosine transform (DCT) is a special type of transform which is widely used for compression of speech and image. However, its use for spectrum sensing has not yet received widespread attention. This paper aims to alleviate the sampling requirements of wideband spectrum sensing by utilizing the compressive sampling (CS) principle and exploiting the unique sparsity structure in the DCT do...
متن کاملUltra Wideband Channel Estimation based on Kalman Filter Compressed Sensing
in this paper, a novel time-varying channel estimation approach based on Kalman filter compressive sensing is proposed for the high sampling problem of ultra wideband (UWB) system considering the sparse of the channel impulse response. The direct sequence UWB signal is formulated to the mathematical model of compressed sensing after down sampling. The receiver recovery the channel impulse respo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Future Generation Communication and Networking
سال: 2016
ISSN: 2233-7857,2233-7857
DOI: 10.14257/ijfgcn.2016.9.8.04