基于压缩感知的外辐射源雷达分数阶杂波估计

发布时间：2018-01-10 08:06

本文关键词：基于压缩感知的外辐射源雷达分数阶杂波估计　出处：《电子与信息学报》2017年11期 　论文类型：期刊论文

【摘要】：参考信号信杂比(SCR)是评估外辐射源雷达积累增益损失的重要参数。利用数字电视地面广播(DTTB)辐射源中的PN序列进行信杂比估计时,将出现接收信号相对于本地帧头的分数阶时延问题,导致信杂比估计出现严重偏差。针对该问题,该文利用信号在时延维的稀疏性,提出基于压缩感知的信杂比估计算法。仿真结果表明,该算法对不同强弱的信号都能得到精确的时延和强度估计,从而保证了信杂比估计的准确性。实测数据处理结果表明,实测数据的参考信号信杂比较高,积累损失较小,约为0.5 d B;信杂比与基线距离有关,基线越长信杂比越低,积累损失越大。
[Abstract]:The signal-to-clutter ratio (SCR) of reference signal is an important parameter to evaluate the cumulative gain loss of external emitter radar. The PN sequence in DTTB emitter is used to estimate the signal-to-clutter ratio. The fractional-order delay of the received signal relative to the local frame head will lead to a serious error in the estimation of the signal-to-clutter ratio. In view of this problem, the sparseness of the time-delay dimension of the signal is utilized in this paper. A signal to clutter ratio estimation algorithm based on compression sensing is proposed. The simulation results show that the algorithm can obtain accurate time delay and intensity estimation for the signals with different intensity and intensity. The measured data processing results show that the reference signal of the measured data is relatively high, and the accumulated loss is small, which is about 0.5 dB; The longer the baseline is, the lower the signal-to-clutter ratio is, and the greater the accumulation loss is.
【作者单位】：中国科学院电子学研究所;微波成像技术国家级重点实验室;中国科学院大学;
【分类号】：TN957.51
【正文快照】： (3)(中国科学院大学北京100049)外辐射源雷达[1]是一种利用电视、调频广播和全球移通信系统(GSM)等非合作辐射源作为照射源的双/多基地雷达。由于自身不发射电磁波,加上收发分离和辐射源频率较低的特点,该体制雷达具有反隐身、抗低空突防及生存能力强等优点,近年来受到了国内

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