TY - GEN
T1 - SPECAN algorithm for forward-looking bistatic SAR
AU - Li, Zengliang
AU - Yao, Di
AU - Long, Teng
PY - 2008
Y1 - 2008
N2 - In this paper, we present a computationally efficient method for forming image from FL-BSAR phase history data. First, the bistatic geometry and an ideal signal model that results from it were defined. Then, based on this ideal signal model, image formation was deduced and the Flow-chart of algorithm was given out, finally, we analyzed the limits on the scene size. The validity of the SPECAN algorithm is proved by the imaging results.
AB - In this paper, we present a computationally efficient method for forming image from FL-BSAR phase history data. First, the bistatic geometry and an ideal signal model that results from it were defined. Then, based on this ideal signal model, image formation was deduced and the Flow-chart of algorithm was given out, finally, we analyzed the limits on the scene size. The validity of the SPECAN algorithm is proved by the imaging results.
UR - http://www.scopus.com/inward/record.url?scp=67249134851&partnerID=8YFLogxK
U2 - 10.1109/ICOSP.2008.4697661
DO - 10.1109/ICOSP.2008.4697661
M3 - Conference contribution
AN - SCOPUS:67249134851
SN - 9781424421794
T3 - International Conference on Signal Processing Proceedings, ICSP
SP - 2517
EP - 2520
BT - 2008 9th International Conference on Signal Processing, ICSP 2008
T2 - 2008 9th International Conference on Signal Processing, ICSP 2008
Y2 - 26 October 2008 through 29 October 2008
ER -