Performance analysis of the RAKE receiver in the presence of multipath delay estimation errors and Rician fading channels

Lohan, Elena-Simona; Renfors, Markku

doi:10.1002/ett.4460140507

Cited by 1 publication

(1 citation statement)

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“…Second, the variance of |Y| ‐ which is ideally 0 if no other error effects are considered – increases :

E [(||, Y)] = E [\sqrt{I^{2} + Q^{2}}] \equiv μ_{Y} \leq 1

var [(||, Y)] = E [{|Y|}^{2}] - {([], |Y|)}^{2} \equiv σ_{Y}^{2} \geq 0

where μ Y denotes the mean or expected value of |Y| and σ Y 2 denotes the variance of |Y|. Therefore, the post‐correlation SNR C due to phase noise is defined by (19) .

SN R_{C} \equiv 20 {log}_{10} (\frac{μ_{Y}}{σ_{Y}})

…”

Section: Theory On the Relation Between Chpll Pn And Gnss Code Correlmentioning

confidence: 99%

Effects of Radio Front-end PLL Phase Noise on GNSS Baseband Correlation

et al. 2014

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This article presents a study of Global Navigation Satellite System (GNSS) receiver correlation performance in the presence of phase noise (PN) originating from the radio front-end's phase-locked loop (PLL). Various constituent PLL sub-blocks, such as the reference oscillator (RO), phase and frequency detector (PFD), voltage controlled oscillator (VCO), loop filter and frequency dividers contribute to the overall PN of the PLL. The PLL phase noise modeling is covered in detail. Correlation performance of GNSS baseband tracking loops is then calculated as a function of several PLL design parameters, such as the VCO thermal PN, loop filter bandwidth (BW), frequency division ratio (FDR), and the receiver correlator's pre-detection integration times (PIT). The effects of these parameters on the signal to noise ratio (SNR) of the correlation product are described and simulated. Based on the results of these simulations, we present guidelines for radio front-end PLL circuit design in order to maintain a minimum baseband correlation performance within the GNSS receiver.

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“…Second, the variance of |Y| ‐ which is ideally 0 if no other error effects are considered – increases :

E [(||, Y)] = E [\sqrt{I^{2} + Q^{2}}] \equiv μ_{Y} \leq 1

var [(||, Y)] = E [{|Y|}^{2}] - {([], |Y|)}^{2} \equiv σ_{Y}^{2} \geq 0

where μ Y denotes the mean or expected value of |Y| and σ Y 2 denotes the variance of |Y|. Therefore, the post‐correlation SNR C due to phase noise is defined by (19) .