CAJ | 학술논문

针对无线电定位中的时延估计问题,考虑接收信号为窄带信号以及背景噪声为高斯分布的情况下,将四阶累积量的一维切片作为高阶统计量,结合希尔伯特变换,给出一种新的时延估计方法.该方法对相关峰值进行了锐化处理,提高了估计精度.与广义互相关法相比,该算法可有效抑制空间相关高斯噪声的影响,计算量小,易于实现.仿真结果表明了该方法的有效性.
침대무선전정위중적시연고계문제,고필접수신호위착대신호이급배경조성위고사분포적정황하,장사계루적량적일유절편작위고계통계량,결합희이백특변환,급출일충신적시연고계방법.해방법대상관봉치진행료예화처리,제고료고계정도.여엄의호상관법상비,해산법가유효억제공간상관고사조성적영향,계산량소,역우실현.방진결과표명료해방법적유효성.
The problem of time delay estimation in wireless location is investigated. In the case of the received signal with the narrow-band and background noises with the Gaussian distribution, a new algorithm of time delay estimation is presented in terms of the Hilbert transform and the fourth-order cumulant. Correlation peak is sharpened to improve the accuracy of estimation. Compared with generalized cross-correlated algo-rithm, the proposed approach can suppress the spatially correlated Gaussian noises. The algorithm is of low computation complexity and easy to implement. Simulation results show the effectiveness of the algorithm.