A modified non-coherent sequential detection decision logic based on continuous accumulation to achieve fast PN code acquisition is proposed. To simplify the design and analysis, the equivalent relationship between th...A modified non-coherent sequential detection decision logic based on continuous accumulation to achieve fast PN code acquisition is proposed. To simplify the design and analysis, the equivalent relationship between the likelihood ratio of the current sample and that of all the previous samples is deduced. The scheme is proved to be an optimum sequential detection under certain assumptions. Because the average sample number (ASN) can not be calculated through the methods applied to the conventional sequential detection, an algorithm is also provided, which can estimate both the probability density function (pdf) and the upper threshole of ASN. The desired probabilities of false alarm and detection, as well as faster PN code acquisition compared to the conventional sequential detection can be achieved by employing this structure . In addition, Rayeigh-faded reception case is also taken into consideration. Performances of the proposed schemes are obtained, which suggest that the proposed non-coherent sequential detection is more desirable.展开更多
提出一种采用循环卷积实现伪码捕获的方法,研究了Agarwal-Cooley快速循环卷积(Agar-wal-Cooley Fast Circular Convolution,ACFCC)算法及其并行结构,设计实现了基于ACFCC的伪码捕获方法,最后分析了该方法的捕获性能。理论分析和仿真结...提出一种采用循环卷积实现伪码捕获的方法,研究了Agarwal-Cooley快速循环卷积(Agar-wal-Cooley Fast Circular Convolution,ACFCC)算法及其并行结构,设计实现了基于ACFCC的伪码捕获方法,最后分析了该方法的捕获性能。理论分析和仿真结果表明,与基于FFT循环相关法相比,基于ACFCC的伪码捕获方法在其它捕获性能没有明显改变的情况下,降低了运算量,并且便于计算机采用并行结构实现,提高了系统的捕获效率。展开更多
文摘A modified non-coherent sequential detection decision logic based on continuous accumulation to achieve fast PN code acquisition is proposed. To simplify the design and analysis, the equivalent relationship between the likelihood ratio of the current sample and that of all the previous samples is deduced. The scheme is proved to be an optimum sequential detection under certain assumptions. Because the average sample number (ASN) can not be calculated through the methods applied to the conventional sequential detection, an algorithm is also provided, which can estimate both the probability density function (pdf) and the upper threshole of ASN. The desired probabilities of false alarm and detection, as well as faster PN code acquisition compared to the conventional sequential detection can be achieved by employing this structure . In addition, Rayeigh-faded reception case is also taken into consideration. Performances of the proposed schemes are obtained, which suggest that the proposed non-coherent sequential detection is more desirable.
文摘提出一种采用循环卷积实现伪码捕获的方法,研究了Agarwal-Cooley快速循环卷积(Agar-wal-Cooley Fast Circular Convolution,ACFCC)算法及其并行结构,设计实现了基于ACFCC的伪码捕获方法,最后分析了该方法的捕获性能。理论分析和仿真结果表明,与基于FFT循环相关法相比,基于ACFCC的伪码捕获方法在其它捕获性能没有明显改变的情况下,降低了运算量,并且便于计算机采用并行结构实现,提高了系统的捕获效率。
