Compressed Sensing Application For Sparse Array Radar
نویسندگان
چکیده
Based on the sparsity of scene (moving target and few scatterers on the same resolution cell), MTD and 3D imaging are investigated by means of compressed sensing (CS) for airship sparse array radar and airborne three-aperture MMW SAR. Based on the sparsity of continuous scene sparse spectrum, sidelooking 3D imaging is investigated by means of CS for airborne cross-track sparse array SAR. Some signal and data processing results are presented. Keywords-compressed sensing (CS); sparse array; moving targets detection (MTD);3D imaging; sparsity analysis
منابع مشابه
Sparse MIMO Array GPR Based on Compressed Sensing
MIMO array can obtain much more equivalent elements by using a small number of transmitters and receivers. However, according to traditional sampling theorem, a certain number of transmitters and receivers are still needed to obtain a dense equivalent array. Since the interesting targets of ground penetrating radar (GPR) are usually sparse, this paper presents a spare MIMO array GPR imaging sch...
متن کاملForward-looking Imaging of Scanning Phas- Ed Array Radar Based on the Compressed Sensing
In this paper, a novel forward-looking imaging method based on the compressed sensing is proposed for scanning phased array radar (PAR) in order to improve the azimuth resolution. Firstly, the echo of targets is modeled according to the principle of PAR. Then, it is analyzed why some of the former methods as multi-channel deconvolution are ineffective based on the signal model. Using a widely a...
متن کاملA Novel Coherence Reduction Method in Compressed Sensing for DOA Estimation
A novel method named as coherent column replacement method is proposed to reduce the coherence of a partially deterministic sensing matrix, which is comprised of highly coherent columns and random Gaussian columns. The proposed method is to replace the highly coherent columns with random Gaussian columns to obtain a new sensing matrix. The measurement vector is changed accordingly. It is proved...
متن کاملOn compressive sensing applied to radar
Compressive sensing (CS) techniques offer a framework for the detection and allocation of sparse signals with a reduced number of samples. Today, modern radar systems operate with high bandwidths—demanding high sample rates according to the Shannon–Nyquist theorem—and a huge number of single elements for phased array consumption and costs of radar systems. There is only a small number of public...
متن کاملSplitting Matching Pursuit Method for Reconstructing Sparse Signal in Compressed Sensing
In this paper, a novel method named as splitting matching pursuit (SMP) is proposed to reconstructK-sparse signal in compressed sensing.The proposedmethod selectsFl (Fl > 2K) largest components of the correlation vector c, which are divided intoF split sets with equal length l.The searching area is thus expanded to incorporatemore candidate components, which increases the probability of finding...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013