Signal to noise ratio estimation method under frequency hopping communication interference condition
The invention discloses a signal to noise ratio estimation method under a frequency hopping communication interference condition. The signal to noise ratio estimation method comprises the following steps: at first, carrying out matched filtering on a received signal by a matched filter under the fre...
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creator | YE ZHAN TONG XINHAI GUO DAOXING LIU XIAN WANG HANGXIAN JIN JUN WANG HENG FANG HUA PAN XIAOFEI ZHANG BANGNING GONG CHAO PAN KEGANG LIU AIJUN |
description | The invention discloses a signal to noise ratio estimation method under a frequency hopping communication interference condition. The signal to noise ratio estimation method comprises the following steps: at first, carrying out matched filtering on a received signal by a matched filter under the frequency hopping communication interference condition, transmitting the received signal into an energy detector to detect the energy, predicting an interference hop, and demodulating the interference hop; respectively sending the demodulated signal to an LDPC iterative decoder and a signal to noise ratio estimator, iteratively decoding the demodulated signal by the LDPC iterative decoder, sending the iterative decoding information of the signal to the signal to noise ratio estimator, estimating a signal to noise ratio through an estimation algorithm in combination with the demodulated signal information, sending an estimated value to the LDPC iterative decoder to carry out next iterative decoding, repeating the process until reaching an iteration time, and finally, outputting the estimated value. The signal to noise ratio estimation method disclosed by the invention is used for solving the problem of signal to noise ratio estimation under the conditions of high estimation precision, wide signal to noise ratio estimation range, low signal to noise ratio and very small estimation error, and plays a positive role of improving the channel state estimation accuracy during slow frequency hopping communication self-adaptive transmission. |
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The signal to noise ratio estimation method comprises the following steps: at first, carrying out matched filtering on a received signal by a matched filter under the frequency hopping communication interference condition, transmitting the received signal into an energy detector to detect the energy, predicting an interference hop, and demodulating the interference hop; respectively sending the demodulated signal to an LDPC iterative decoder and a signal to noise ratio estimator, iteratively decoding the demodulated signal by the LDPC iterative decoder, sending the iterative decoding information of the signal to the signal to noise ratio estimator, estimating a signal to noise ratio through an estimation algorithm in combination with the demodulated signal information, sending an estimated value to the LDPC iterative decoder to carry out next iterative decoding, repeating the process until reaching an iteration time, and finally, outputting the estimated value. The signal to noise ratio estimation method disclosed by the invention is used for solving the problem of signal to noise ratio estimation under the conditions of high estimation precision, wide signal to noise ratio estimation range, low signal to noise ratio and very small estimation error, and plays a positive role of improving the channel state estimation accuracy during slow frequency hopping communication self-adaptive transmission.</description><language>eng</language><subject>ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; TRANSMISSION ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2016</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20160120&DB=EPODOC&CC=CN&NR=105262505A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20160120&DB=EPODOC&CC=CN&NR=105262505A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YE ZHAN</creatorcontrib><creatorcontrib>TONG XINHAI</creatorcontrib><creatorcontrib>GUO DAOXING</creatorcontrib><creatorcontrib>LIU XIAN</creatorcontrib><creatorcontrib>WANG HANGXIAN</creatorcontrib><creatorcontrib>JIN JUN</creatorcontrib><creatorcontrib>WANG HENG</creatorcontrib><creatorcontrib>FANG HUA</creatorcontrib><creatorcontrib>PAN XIAOFEI</creatorcontrib><creatorcontrib>ZHANG BANGNING</creatorcontrib><creatorcontrib>GONG CHAO</creatorcontrib><creatorcontrib>PAN KEGANG</creatorcontrib><creatorcontrib>LIU AIJUN</creatorcontrib><title>Signal to noise ratio estimation method under frequency hopping communication interference condition</title><description>The invention discloses a signal to noise ratio estimation method under a frequency hopping communication interference condition. 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The signal to noise ratio estimation method comprises the following steps: at first, carrying out matched filtering on a received signal by a matched filter under the frequency hopping communication interference condition, transmitting the received signal into an energy detector to detect the energy, predicting an interference hop, and demodulating the interference hop; respectively sending the demodulated signal to an LDPC iterative decoder and a signal to noise ratio estimator, iteratively decoding the demodulated signal by the LDPC iterative decoder, sending the iterative decoding information of the signal to the signal to noise ratio estimator, estimating a signal to noise ratio through an estimation algorithm in combination with the demodulated signal information, sending an estimated value to the LDPC iterative decoder to carry out next iterative decoding, repeating the process until reaching an iteration time, and finally, outputting the estimated value. The signal to noise ratio estimation method disclosed by the invention is used for solving the problem of signal to noise ratio estimation under the conditions of high estimation precision, wide signal to noise ratio estimation range, low signal to noise ratio and very small estimation error, and plays a positive role of improving the channel state estimation accuracy during slow frequency hopping communication self-adaptive transmission.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY TRANSMISSION TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
title | Signal to noise ratio estimation method under frequency hopping communication interference condition |
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