Iterative pseudo-code capture apparatus and method based on information optimization

Abstract

The invention provides an iteration pseudo code acquirer and an acquiring method based on information optimization. The acquirer is composed of six modules. After a signal collected by an A/D sampling module is demodulated by a carrier wave demodulation structure, the signal is sent to a maximum likelihood timing estimator which carries out timing estimation to the timing error of a chip and forms an opening control signal to a multi-sampling arithmetic typical value structure according to a timing estimation result. A multi-sampling arithmetic typical value module starts to work after receiving a starting signal and forms M chip observing quantities to form an observing module data. After the module data is ready, the module data is sent into an iteration message transmission module which executes the operation of iteration message transmission to generate the state vector of a pseudo code sequence and send the state vector of a pseudo code sequence to an acquiring judgment module, and the acquiring judgment module restores a local sequence according to the state vector and carries out relative operation with a received signal to judge whether the acquisition is successful. The iteration pseudo code acquirer can achieve reliable iteration initial information and improve the performance of the rapid acquiring method based on IMPA pseudo codes.

Description

(1) Technical field [0001] The invention relates to a device for quickly capturing long pseudocode sequences, and also relates to a method for quickly capturing long pseudocode sequences. (2) Background technology [0002] The fast acquisition of long pseudo-code sequences has always been a difficult point in the realization of some high-performance spread spectrum systems. The traditional pseudo-code capture method is based on sliding correlation. The serial sliding capture is simple to implement, but the capture time is long, which makes it difficult to meet the rapidity requirements; the parallel sliding capture is complex and difficult to implement in hardware; the hybrid capture method is The compromise between serial and parallel can meet the needs of some occasions, but the overall complexity has not changed, and the speed is limited. The acquisition method based on FFT has relatively high requirements on the processing speed and storage capacity of the processor, an...

AI Technical Summary

Problems solved by technology

[0023] Existing methods only use a single-point sampling of one chip, which is more suitable for ultra-wideband systems with narrow pulses, but for most direct-sequence spread spectrum systems, each chip contains abundant sampling points, if a The chip still uses a sampling point, and it will not be possible to obtain reliable iterative initial information, thus restricting the performance of this iterative acquisition method

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