CAJ | 학술논문

针对稀疏度先验信息缺失的条件下，正交匹配追踪（orthogonal matching pursuit，OMP）算法设置冗余稀疏度时，造成信号过重构、抗噪性能变差等问题，基于贝叶斯检验模型，提出了贝叶斯正交匹配追踪（Bayesian orthogonal matching pursuit，BOMP）算法。并推导了该算法估计信号的克拉美罗下界，最后将算法应用于逆合成孔径雷达（inverse synthetic aperture radar，ISAR）成像。理论分析和实验结果表明，由于该算法能够更加真实地估计信号支撑集，因而具有更好的重构精度、抗噪性能，同时降低了计算复杂度。
침대희소도선험신식결실적조건하，정교필배추종（orthogonal matching pursuit，OMP）산법설치용여희소도시，조성신호과중구、항조성능변차등문제，기우패협사검험모형，제출료패협사정교필배추종（Bayesian orthogonal matching pursuit，BOMP）산법。병추도료해산법고계신호적극랍미라하계，최후장산법응용우역합성공경뢰체（inverse synthetic aperture radar，ISAR）성상。이론분석화실험결과표명，유우해산법능구경가진실지고계신호지탱집，인이구유경호적중구정도、항조성능，동시강저료계산복잡도。
Due to lack of sparsity information,the orthogonal matching pursuit (OMP)algorithm must set a redundant support in advance,which leads to heavier computation burden,lower noise suppressive ability and poor signal reconstruction performance.This paper proposes a modified Bayesian orthogonal matching pursuit (BOMP)algorithm.Meanwhile,the Cramer-Rao lower bound (CRLB)of the estimated signal is analyzed.Fi-nally BOMP is used for inverse synthetic aperture radar (ISAR)imaging.Theoretical analysis and simulation results show that the proposed algorithm can improve the noise suppressive ability and reconstruction accuracy, and decrease the computing complexity obviously.