From Compressed Sensing to Low-rank Matrix Recovery: Theory and Applications

2014 ◽  
Vol 39 (7) ◽  
pp. 981-994 ◽  
Author(s):  
Yi-Gang PENG ◽  
Jin-Li SUO ◽  
Qiong-Hai DAI ◽  
Wen-Li XU
2013 ◽  
Vol 39 (7) ◽  
pp. 981-994 ◽  
Author(s):  
Yi-Gang PENG ◽  
Jin-Li SUO ◽  
Qiong-Hai DAI ◽  
Wen-Li XU

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Ting Wang ◽  
Ke-Wen Xia ◽  
Ning Lu

Antenna array pattern synthesis technology plays a vital role in the field of smart antennas. It is well known that the pattern synthesis of homogeneous array is the key topic of pattern synthesis technology. But this technology needs plenty of homogeneous array elements to meet the antenna requirements. So, a novel pattern synthesis technology for sparse array based on the compressed sensing (CS) and low-rank matrix recovery (LRMR) methods is proposed. The proposed technology predominantly includes the design of sparse array, the recovery of homogeneous array, and the synthesis of antenna array pattern. The simulation result shows that an antenna array with low gain and strong directivity can be arbitrarily built by the use of a small amount of sparse array elements and it is useful for the miniaturization and economical efficiency of the antenna system.


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