원문정보
초록
영어
Adaptive correlator receiver with neural network based on complex multilayer perceptron is persented for suppressing interference of narrow-band of direct spread spectrum communication systems. Recursive least square algorithm with backpropagation error is used for fast convergence and better performance in adaptive correlator scheme. According to signal noise and transmission power, computer simulation results show that bit error ratio of adaptive correlator using neural network improved that of adative transversal filter of direct sequence spread spectrum considering of jamming and narrow-band interference. Bit error ratio of adaptive correlator with neural network is reduced about 10-1 than that of adaptive transversal filter where interference versus signal ratio is 5dB.
목차
II. 협대역 간섭 신호 적응 상관기 모델
1. 적응 횡단선 필터의 수신기
2. 신경망을 이용한 네트워크
III. 신경망 적응 상관기와 알고리즘 관계
1. 신경망을 이용한 적응 상관기
2. 반복적 최소 자승 알고리즘 적응 상관기 구조
IV. 시뮬레이션 결과 및 분석
V. 결론
참고문헌
Abstract