电讯技术
電訊技術
전신기술
TELECOMMUNICATIONS ENGINEERING
2014年
8期
1117-1122
,共6页
赖平%陆锐敏%马世旺%沈俊
賴平%陸銳敏%馬世旺%瀋俊
뢰평%륙예민%마세왕%침준
空时自适应滤波%子带阵列处理%恒模算法%直扩系统%干扰抑制%盲自适应
空時自適應濾波%子帶陣列處理%恆模算法%直擴繫統%榦擾抑製%盲自適應
공시자괄응려파%자대진렬처리%항모산법%직확계통%간우억제%맹자괄응
STAP%SBAA%CMA%DSSS%interference suppression%blind adaptive
在卫星智能天线终端,传统空时自适应滤波处理中自适应算法需要信号信息而缺乏实时性,阵列处理算法复杂而抗干扰能力不足,针对此问题,提出了一种子带盲自适应阵列处理算法,用于直扩系统空时干扰抑制技术。子带阵列处理相对纯空域处理提高了阵列自由度,相对传统空时的抽头延迟线阵列自适应结构又大大降低了算法复杂度。提出的子带指数型变步长线性约束恒模算法的自适应阵列处理算法能在低算法复杂度下提供较高的收敛速度和收敛精度,不需要发送训练序列,可实现盲自适应波束形成,易于实现实时跟踪信号变化。仿真结果表明新的空时干扰抑制方案具有更好的抗干扰性能。
在衛星智能天線終耑,傳統空時自適應濾波處理中自適應算法需要信號信息而缺乏實時性,陣列處理算法複雜而抗榦擾能力不足,針對此問題,提齣瞭一種子帶盲自適應陣列處理算法,用于直擴繫統空時榦擾抑製技術。子帶陣列處理相對純空域處理提高瞭陣列自由度,相對傳統空時的抽頭延遲線陣列自適應結構又大大降低瞭算法複雜度。提齣的子帶指數型變步長線性約束恆模算法的自適應陣列處理算法能在低算法複雜度下提供較高的收斂速度和收斂精度,不需要髮送訓練序列,可實現盲自適應波束形成,易于實現實時跟蹤信號變化。倣真結果錶明新的空時榦擾抑製方案具有更好的抗榦擾性能。
재위성지능천선종단,전통공시자괄응려파처리중자괄응산법수요신호신식이결핍실시성,진렬처리산법복잡이항간우능력불족,침대차문제,제출료일충자대맹자괄응진렬처리산법,용우직확계통공시간우억제기술。자대진렬처리상대순공역처리제고료진렬자유도,상대전통공시적추두연지선진렬자괄응결구우대대강저료산법복잡도。제출적자대지수형변보장선성약속항모산법적자괄응진렬처리산법능재저산법복잡도하제공교고적수렴속도화수렴정도,불수요발송훈련서렬,가실현맹자괄응파속형성,역우실현실시근종신호변화。방진결과표명신적공시간우억제방안구유경호적항간우성능。
In the traditional Space-Time Adaptive Processing ( STAP) of satellite smart antenna terminals, adaptive algorithms require signal information so that they have poor real-time performance and the array processing techniques are not only of high complexity but also suffer from inadequate anti-jammer capabili-ty. In order to solve these problems, a sub-band blind adaptive array processing algorithm is proposed in this paper, which applies the space-time interference suppression technology to Direct Sequence Spread Spectrum ( DSSS) system. Compared with the pure space-domain processing, sub-band adaptive array ( SBAA) greatly increases the freedoms of degree. It also simplifies algorithm complexity relative to Tapped-delay-line adaptive array ( TDLAA) structure of traditional STAP. The proposed sub-band blind adap-tive array algorithm using Exponential Linearly Constrained constant Modulus Algorithm ( EXP-LC-CMA) can provide higher convergence speed and better convergence accuracy with low algorithm complexity. Fur-thermore, the novel algorithm doesn't need training sequences, increasing the ability of tracing signal changes in real time. Simulation results show that the novel space-time interference suppression scheme exhibits a better anti-jamming performance.