TY - GEN
T1 - Sparsity and compressive sensing of sense-through-foliage radar signals
AU - Liang, Qilian
AU - Wu, Ji
AU - Cheng, Xiuzhen
AU - Chen, Dechang
AU - Liang, Jing
PY - 2012
Y1 - 2012
N2 - Motivated by recent advances on Compressive Sensing (CS), we study the sparsity of sense-through-foliage radar signals. Based on CLEAN method, we obtain the impulse response for sense-through-foliage communication channels for three different radars, 200MHz, 400MHz, and UWB radars. Channel impulse responses for the above three different kinds of channels demonstrate that the sense-through-foliage signals are very sparse, which means CS is possible to be applied to sense-through-foliage radar signals to tremendously reduce the sampling rate. We apply CS and linear programming to sparse signal compression and recovery, and it turns out that we could achieve compression ratio of 32:1 with perfect recovery for the UWB radar signals.
AB - Motivated by recent advances on Compressive Sensing (CS), we study the sparsity of sense-through-foliage radar signals. Based on CLEAN method, we obtain the impulse response for sense-through-foliage communication channels for three different radars, 200MHz, 400MHz, and UWB radars. Channel impulse responses for the above three different kinds of channels demonstrate that the sense-through-foliage signals are very sparse, which means CS is possible to be applied to sense-through-foliage radar signals to tremendously reduce the sampling rate. We apply CS and linear programming to sparse signal compression and recovery, and it turns out that we could achieve compression ratio of 32:1 with perfect recovery for the UWB radar signals.
KW - Compressive sensing
KW - UWB
KW - radars
KW - sense-through-foliage
KW - sparsity
UR - http://www.scopus.com/inward/record.url?scp=84871987276&partnerID=8YFLogxK
U2 - 10.1109/ICC.2012.6364984
DO - 10.1109/ICC.2012.6364984
M3 - Conference contribution
AN - SCOPUS:84871987276
SN - 9781457720529
T3 - IEEE International Conference on Communications
SP - 6376
EP - 6380
BT - 2012 IEEE International Conference on Communications, ICC 2012
T2 - 2012 IEEE International Conference on Communications, ICC 2012
Y2 - 10 June 2012 through 15 June 2012
ER -