Research on Interpolation Algorithm for DSSS Signal Receiver

2013 ◽  
Vol 313-314 ◽  
pp. 1279-1284
Author(s):  
Zhi Qun Yang

For Direct Sequence Spread Spectrum (DSSS) receiver, a parallel acquisition algorithm based on FFT-IFFT is proposed to improve speed of the DSSS signal acquisition. In order to ensure the FFT data points is equal to a power of 2(2N), Interpolation Algorithm is always used. In this paper, three interpolation algorithms are introduced in detail, and they are analyzed theoretically and compared by quantitative simulation, the resources occupied and test performance verification. We draw the conclusion that the linear interpolation is the optimal algorithm which offers the effective technique for the implementation of DSSS signal receiver.

2011 ◽  
Vol 135-136 ◽  
pp. 211-216 ◽  
Author(s):  
Xing Cun Wu ◽  
Ping Gong ◽  
Hai Jun Song ◽  
Hui Zhi Zou

Acquisition time of precision ranging code is long under the conditions of large Doppler shift, the carrier frequency domain FFT-based fast acquisition theory was analyzed, and the method of carrier Doppler compensation estimates to complete the PN code Doppler compensation was directly used in spread spectrum ranging signal acquisition. Comparing with the traditional parallel acquisition approach, the Doppler frequency estimation accuracy and acquisition speed is greatly improved, the acquisition time is shorter than long code segment with the traditional parallel acquisition method. Comparing with the method of short code supporting for long code, the channel energy is saved.


2012 ◽  
Vol 195-196 ◽  
pp. 74-79 ◽  
Author(s):  
Ma Lin ◽  
Tian Jing ◽  
Wang Kun

For the acquisition of week direct sequence spread spectrum (DSSS) signal in dynamic environment, an acquisition algorithm using MAX /TC criterion on bi-dimensional search region in noncoherent integrations is proposed. Detection performance of the proposed acquisition algorithm is deduced and the deduced formulas are simple and practicable. Based on these formulas, parameter design method is given for low signal-to-noise ratio (SNR). Computer simulation results demonstrate the correctness of the conclusion and effectiveness of parameter design method.


Sign in / Sign up

Export Citation Format

Share Document