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Long code word acquisition method for wireless sensor network

A technology of wireless sensor network and long code, applied in the direction of transmission system, electrical components, etc., can solve the problems of high resource consumption and inability to directly apply wireless sensor network, etc., to achieve consistent processing clock rate, reduced capture time, and input signal rate consistent effect

Inactive Publication Date: 2011-01-19
上海新微科技发展有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for long codeword capture, the total length of the correlator unit required by PMF-FFT is PN code length, and the number of FFT points will increase accordingly. The resource consumption is too large and cannot be directly applied to wireless sensor networks.

Method used

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  • Long code word acquisition method for wireless sensor network
  • Long code word acquisition method for wireless sensor network
  • Long code word acquisition method for wireless sensor network

Examples

Experimental program
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Effect test

Embodiment 1

[0033] Assume that the setting that satisfies the anti-frequency offset capability of the system when using PMF-FFT acquisition is: the length of the partial correlator is X, the number of partial correlators is P, and the number of FFT points is also P, where the code length of the pseudo code is M=XP.

[0034] This embodiment provides a long codeword acquisition method for wireless sensor networks, such as figure 1 As shown, the method includes two parts: rough catch and fine catch.

[0035] [coarse catch]

[0036] Reduce the phase uncertainty range of the pseudo-code from M (that is, the perimeter of the pseudo-code) to L new +1 (that is, the phase uncertainty range generated by the mean value method), the specific implementation steps are:

[0037] 1) Perform average value processing on the received signal and the pseudo code respectively, and the average points of the average value processing are all L new ;

[0038] 2) The received signal after average value processi...

Embodiment 2

[0051] This embodiment provides a specific example of the long codeword acquisition method used in the wireless sensor network described in the first embodiment. In the example: the spread spectrum pseudo code sequence is obtained by padding the m sequence with a period of 8191, the period is 8192; the chip rate is 1MHz; the stability of the node crystal oscillator is 20ppm, and the carrier frequency is 780MHz, so there is a maximum frequency between the transmitting and receiving nodes. The deviation range is -31.2kHz~+31.2kHz, and the signal frequency deviation is preprocessed to obtain a positive value, and the value range is (0~+62.4kHz); L new The values ​​are 1, 2, 4, 8. When the minimum value is 1, it is exactly the same as the PMF-FFT capture method. The maximum value is 8 because the more points averaged by the mean method, the greater the loss of signal-to-noise ratio. The bigger it is, so generally it should not exceed 8; this example sets L new is 2; the length of...

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Abstract

The invention discloses a long code word acquisition method for a wireless sensor network, and the method comprises the following steps: step 1: coarse acquisition: reducing the range of synchronization phase uncertainty of local pseudo codes from pseudo code circumference M to Lnew plus 1, wherein Lnew is the number of equalization points for carrying out equalization treatment on received signals and the local pseudo codes; and step 2: fine acquisition: leading the range Lnew plus 1 of the synchronization phase uncertainty of the pseudo codes obtained by the coarse acquisition to phase synchronization points of the pseudo codes through the cumulative correlation decision method. The acquisition time and related device resources are 1 / Lnew of the PMF-FFT acquisition method, the number ofFFT points is 1 / Lnew of the PMF-FFT acquisition method, and the confirmation time of one data cycle can only be increased when the maximum frequency offset exceeds the analysis bandwidth of FFT, thereby greatly reducing the acquisition time in comparison with the acquisition method of serial search of the frequency offset, carrying out time division multiplexing of FFT under the situation of not increasing the main clock frequency and ensuring that the clock processing rate of FFT is consistent with the signal input rate.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a long codeword acquisition method used in a wireless sensor network. Background technique [0002] Wireless Sensor Network (WSN) is an "intelligent" network composed of miniature sensor nodes with wireless communication, perception and computing capabilities. It is used in various fields such as military, agriculture, environmental testing, medical and health, industry, intelligent transportation, etc. In view of the harsh environment of wireless sensor network applications and the establishment of the IEEE802. , DSSS) technology has played a huge role and advantages in wireless sensor network communication. Since most nodes in wireless sensor networks are limited by resources, cost, and power consumption, DSSS communication applied in wireless sensor networks needs to meet the requirements of low resource consumption, large carrier frequency offset, and low physi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B1/707
Inventor 罗炬锋夏凌楠林振华付耀先
Owner 上海新微科技发展有限公司
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