电讯技术
電訊技術
전신기술
TELECOMMUNICATIONS ENGINEERING
2014年
1期
40-45
,共6页
邹建武%祝明波%董巍%李相平
鄒建武%祝明波%董巍%李相平
추건무%축명파%동외%리상평
雷达探测%方位超分辨%RL算法%迭代算法%反卷积
雷達探測%方位超分辨%RL算法%迭代算法%反捲積
뢰체탐측%방위초분변%RL산법%질대산법%반권적
radar detection%azimuth super resolution%RL algorithm%iterative algorithm%deconvolution
方位超分辨是国内外雷达界持续探索的一项技术难题。为解决高斯噪声情况下天线低通效应造成的方位低分辨力问题,利用基于泊松噪声情况下Richardson-Lucy( RL)算法对其进行研究。针对RL算法中高斯噪声被放大出现虚假目标和RL算法收敛速度慢的缺点,提出了一种改进RL算法。该算法首先使用低通滤波去除高频段的噪声,然后利用加速RL算法进行方位超分辨。仿真结果表明:与原RL算法相比,改进RL算法能降低高斯噪声的影响,消除虚假目标;在信噪比低至0 dB时,相对于半功率波束宽度,改进RL算法的最大分辩倍数为1.8倍,与维纳逆滤波算法相比具有较强的噪声适应能力,可以应用于雷达方位超分辨。
方位超分辨是國內外雷達界持續探索的一項技術難題。為解決高斯譟聲情況下天線低通效應造成的方位低分辨力問題,利用基于泊鬆譟聲情況下Richardson-Lucy( RL)算法對其進行研究。針對RL算法中高斯譟聲被放大齣現虛假目標和RL算法收斂速度慢的缺點,提齣瞭一種改進RL算法。該算法首先使用低通濾波去除高頻段的譟聲,然後利用加速RL算法進行方位超分辨。倣真結果錶明:與原RL算法相比,改進RL算法能降低高斯譟聲的影響,消除虛假目標;在信譟比低至0 dB時,相對于半功率波束寬度,改進RL算法的最大分辯倍數為1.8倍,與維納逆濾波算法相比具有較彊的譟聲適應能力,可以應用于雷達方位超分辨。
방위초분변시국내외뢰체계지속탐색적일항기술난제。위해결고사조성정황하천선저통효응조성적방위저분변력문제,이용기우박송조성정황하Richardson-Lucy( RL)산법대기진행연구。침대RL산법중고사조성피방대출현허가목표화RL산법수렴속도만적결점,제출료일충개진RL산법。해산법수선사용저통려파거제고빈단적조성,연후이용가속RL산법진행방위초분변。방진결과표명:여원RL산법상비,개진RL산법능강저고사조성적영향,소제허가목표;재신조비저지0 dB시,상대우반공솔파속관도,개진RL산법적최대분변배수위1.8배,여유납역려파산법상비구유교강적조성괄응능력,가이응용우뢰체방위초분변。
Azimuth super-resolution remains a technical problem needed to be explored in radar domain both at home and abroad. In order to solve the low resolution problem caused by antenna’s low-pass effect under the condition of Gaussian noise, Richardson-Lucy ( RL) algorithm is used in research based on the Poisson noise. For the drawback of false target because of amplified effect of Gaussian noise and slow con-vergence rate, an improved RL algorithm is proposed. Firstly, the improved algorithm uses the low-pass filter to remove the noise in high frequency band, then its azimuth super resolution is solved by the acceler-ated RL algorithm. Simulation results show that, compared with the original RL algorithm, the improved RL algorithm can reduce the Gaussian noise, eliminate false targets, with regards to the half-power beam-width, its maximum resolution ratio can be reach 1. 8 times when the signal-to-noise ratio(SNR) is low to 0 dB, which shows the improved RL algorithm has strong noise adaptation capability compared with Wie-ner inverse filtering algorithm and can be used in radar azimuth super-resolution.