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Optimal Parameter Estimation for High Dynamic Acquisition of Non-coherent DSSS

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Signal and Information Processing, Networking and Computers

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 677))

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Abstract

The phase of the modulation data symbol inversion is irrelevant to the pseudorandom noise code, which could seriously destroy the periodic characteristic of the pseudorandom noise code and decrease the acquisition performance of conventional receiver. In view of this, square operation is proposed to add in a commonly used acquisition algorithm. Compared with delay multiplication operation, the probability density function of amplitude is studied. Finally, the constraints and optimal value of the critical parameter are evaluated based on the high dynamic characteristics and the acquisition performance of non-coherent direct sequence spread spectrum system. According to the randomness of the modulation data symbol inversion, the detection probability and SNRout is estimated adopting statistical method on the conditions of different SNRin and information rates. The simulation results show that the acquisition sensitivity of the square operation is 5 dB higher than that of delay multiplication operation on the same detection probability.

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Correspondence to Hehe Guo .

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Guo, H., Min, C., Shen, X., Li, K. (2021). Optimal Parameter Estimation for High Dynamic Acquisition of Non-coherent DSSS. In: Wang, Y., Xu, L., Yan, Y., Zou, J. (eds) Signal and Information Processing, Networking and Computers. Lecture Notes in Electrical Engineering, vol 677. Springer, Singapore. https://doi.org/10.1007/978-981-33-4102-9_65

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  • DOI: https://doi.org/10.1007/978-981-33-4102-9_65

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4101-2

  • Online ISBN: 978-981-33-4102-9

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