3 research outputs found

    The design of the GPS Signal Acquisition Algorithm for Weak Signals

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    ์†Œํ”„ํŠธ์›จ์–ด ๊ธฐ๋ฐ˜ GPS์ˆ˜์‹ ๊ธฐ์—์„œ ์‹ ํ˜ธํš๋“ ์•Œ๊ณ ๋ฆฌ์ฆ˜์€ ์ค‘์š”ํ•œ ์‹ ํ˜ธ์ฒ˜๋ฆฌ ๊ณผ์ • ์ค‘ ํ•˜๋‚˜๋‹ค. ์‹ ํ˜ธํš๋“ ๊ณผ์ •์—์„œ ๊ตฌํ•œ ์ฝ”๋“œ์œ„์ƒ๊ณผ ๋„ํ”Œ๋Ÿฌ ์ด๋™๋œ ์ฃผํŒŒ์ˆ˜๋ฅผ ๋‹ค์Œ๋‹จ๊ณ„์ธ ์‹ ํ˜ธ ์ถ”์ ์•Œ๊ณ ๋ฆฌ์ฆ˜์— ๋ณด๋‚ด๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ •ํ™•ํ•˜๊ณ  ํšจ์œจ์ ์ธ ์‹ ํ˜ธ ํš๋“ ํŒ๋ณ„ ๋ฐฉ๋ฒ•์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์‹ ํ˜ธ ํš๋“ ํŒ๋ณ„ ๋ฐฉ๋ฒ• ์ค‘ ์ˆœํ™˜์ƒ๊ด€๊ด€๊ณ„ ๊ฐ’์˜ ๋น„๋ฅผ ํŒŒ๋ผ๋ฏธํ„ฐ๋กœ ์„ค์ •ํ•˜์—ฌ ์‹ ํ˜ธ ํš๋“ ์—ฌ๋ถ€๋ฅผ ํŒ๋ณ„ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ–ˆ๋‹ค. ์„ค์ •ํ•œ ํŒŒ๋ผ๋ฏธํ„ฐ์˜ ์˜ค๊ฒฝ๋ณด์œจ๊ณผ ๊ฒ€์ถœํ™•๋ฅ ์„ ํ†ตํ•ด ์„ฑ๋Šฅ์„ ๋ถ„์„ํ–ˆ๊ณ , ๋ฏธ์•ฝ ์‹ ํ˜ธ ํš๋“์„ ์œ„ํ•œ ์ž„๊ณ„์น˜ ์„ค์ • ๋ฐฉ๋ฒ•์„ ์—ฐ๊ตฌํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋ถ„์„ํ•œ ์ž„๊ณ„์น˜๋ฅผ ๊ฐ€์ง€๊ณ  ์‹ค์ œ GPS์‹ ํ˜ธ๋ฅผ ํš๋“ํ•˜๋Š”๋ฐ ์‚ฌ์šฉํ•˜์˜€๋‹ค.๋ณธ ์—ฐ๊ตฌ๋Š” ๋ฐฉ์œ„์‚ฌ์—…์ฒญ๊ณผ ๊ตญ๋ฐฉ๊ณผํ•™์—ฐ๊ตฌ์†Œ๊ฐ€ ์ง€์›ํ•˜๋Š” ๊ตญ๋ฐฉ์œ„์„ฑํ•ญ๋ฒ•ํŠนํ™”์—ฐ๊ตฌ์„ผํ„ฐ ์‚ฌ์—…์˜ ์ผํ™˜์œผ๋กœ ์ˆ˜ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค

    Performance Analysis of In-flight Alignment Using UKF for Trajectory

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    In this paper, GPS aided in-flight alignment algorithm using UKF(Unscented Kalman Filter) is presented for an SDINS under large initial heading error and different trajectory. For this task, the EKF that approximates the propagation of mean and covariance accurate to first-order only is generally used. To overcome the EKF limitation, the various unscented transformations that achieve second order approximation are applied to the in-flight alignment. With a low cost MEMS IMU, the simulations are carried out at S-type and Circle-type trajectory for analyzing the performance of the proposed method. The results show that performance of UKF has a better than EKF for large initial heading error. And using S-type trajectory increase the performance of error estimates

    GNSS Interference Detection using Adaptive notch filter

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    ์œ„์„ฑํ•ญ๋ฒ•์‹œ์Šคํ…œ์˜ ํ™œ์šฉ์ด ์ฆ๊ฐ€ํ•˜๋ฉด์„œ ์œ„์„ฑํ•ญ๋ฒ•์‹œ์Šคํ…œ์˜ ์„ฑ๋Šฅ์„ ์ €ํ•˜์‹œํ‚ค๋Š” ์›์ธ ์ค‘ ํ•˜๋‚˜์ธ ์ „ํŒŒ๊ฐ„์„ญ ์‹  ํ˜ธ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ์ด ๋†’์•„์ง€๊ณ  ์žˆ๋‹ค. ์ „ํŒŒ๊ฐ„์„ญ ์‹ ํ˜ธ์˜ ์˜ํ–ฅ์— ๊ฐ•์ธํ•˜๊ณ  ์œ„์„ฑํ•ญ๋ฒ•์‹œ์Šคํ…œ์˜ ํ•ญ๋ฒ•ํ•ด ์ •ํ™•๋„๋ฅผ ๋†’์ด๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ „ํŒŒ๊ฐ„์„ญ ์‹ ํ˜ธ์›์„ ๊ฒ€์ถœํ•˜๊ณ  ์ „ํŒŒ๊ฐ„์„ญ ์˜ํ–ฅ์„ ์™„ํ™”์‹œํ‚ค๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ์—ฐ๊ตฌ ๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ์ด๋ฅผ ์œ„ํ•ด์„œ ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ ์‘ ๋…ธ์น˜ ํ•„ํ„ฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ํ˜‘๋Œ€์—ญ ๋‹จ์ผ์ฃผํŒŒ์ˆ˜ ์ „ํŒŒ๊ฐ„์„ญ ์‹ ํ˜ธ (single-tone CWI)์™€ ๋‹ค์ค‘์ฃผํŒŒ์ˆ˜ ์ „ํŒŒ๊ฐ„์„ญ ์‹ ํ˜ธ(multi-tone CWI)๋ฅผ ๊ฒ€์ถœํ•˜๊ธฐ ์œ„ํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ๊ตฌํ˜„ํ•˜ ๊ณ  ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ๊ฒ€์ถœํ•˜๊ณ  ๊ฒฐ๊ณผ๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. In this paper, an adaptive IIR notch filter structure based on a low-complexity time domain approach and the interference detection algorithms is employed to track single-tone CW and multi-tone CW interference signal. The center frequency of the interference is detected using the adaptive lattice IIR notch filter. Theoretical analysis and simulation are carried out to show the feasibility and performance estimation of the proposed methods.DAPA/ADD/NGRC(๊ตญ๋ฐฉ์œ„์„ฑํ•ญ๋ฒ•ํŠนํ™”์—ฐ๊ตฌ์„ผํ„ฐ
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