CAJ | 학술논문

无源定位中观测站的站址误差会对定位精度产生不良影响。本文提出了一种基于观测站站址误差自校正的定位算法，推导了高斯噪声模型下定位误差的克拉美罗下界（CRLB），通过泰勒级数展开建立了关于站址误差的线性方程并得到了误差的线性最小均方误差（LMMSE）估计，改善了观测站的位置，使用Chan算法得到了定位结果，仿真验证了算法的定位精度在高斯噪声模型下能够达到CRLB。
무원정위중관측참적참지오차회대정위정도산생불량영향。본문제출료일충기우관측참참지오차자교정적정위산법，추도료고사조성모형하정위오차적극랍미라하계（CRLB），통과태륵급수전개건립료관우참지오차적선성방정병득도료오차적선성최소균방오차（LMMSE）고계，개선료관측참적위치，사용Chan산법득도료정위결과，방진험증료산법적정위정도재고사조성모형하능구체도CRLB。
Receiver position error is known to degrade significantly the passive source localization accuracy.A new algo-rithm based on self-calibration of receiver position error is proposed.The Cramer-Rao Lower Bound of source location esti-mate under Gaussian noise model is derived.Using Taylor series expansion,a linear equation is established and the LMMSE estimator of receiver position error is obtained.The receiver position is improved and the estimate of the source lo-cation is achieved by Chan location algorithm.Simulation results indicate that the proposed solution reaches an accuracy close to the CRLB under Gaussian noise.