CAJ | 학술논문

背景噪声估计是自适应盲信号检测的依据。针对传统背景噪声估计复杂度高不适用于宽带卫星跳频信号盲处理系统的现实问题，提出了一种利用跳频信号稀疏性的背景噪声估计算法。理论分析了该算法的可靠性和复杂度，并应用仿真数据和实际信号验证了算法的有效性。相比传统算法，该算法可提供相近的噪声估计结果，而计算复杂度和数据缓存大为降低。
배경조성고계시자괄응맹신호검측적의거。침대전통배경조성고계복잡도고불괄용우관대위성도빈신호맹처리계통적현실문제，제출료일충이용도빈신호희소성적배경조성고계산법。이론분석료해산법적가고성화복잡도，병응용방진수거화실제신호험증료산법적유효성。상비전통산법，해산법가제공상근적조성고계결과，이계산복잡도화수거완존대위강저。
Noise estimation is the basis of the adaptive blind signal detection .It provides the thresholds of automatic detector based on the CFAR (Constant False Alarm Rate ) rule .The traditional noise estimator was complicated and cannot be easily imple-mented in the on-line blind signal processing system for the satellite broadband frequency-hopping signal .Utilizing the sparseness of the frequency-hopping signal ,a new algorithm was proposed to facilitate the noise estimation .The reliability and complexity of the algorithm was analyzed theoretically ,and the effectiveness was verified through both simulations and real signal experiments .Com-pared to the classical algorithm ,the proposed algorithm can provide similar noise estimation results ,while its computational complex-ity and buffer consumption was significantly reduced .