Riba:
- Ikon yin bayanin nau'ikan daidaitawa na analog/dijital (AM/FM, QAM, QPSK, OFDM) da dabaru na ƙungiyar taurari tare da tallafin AI
- Ikon yin nazarin BER, SNR da samun alaƙar coding akan yanayin yanayin tare da AI
- Ikon tabbatar da tsinkayar aikin da AI ta samar tare da daidaitattun ƙididdiga, simulators da ma'auni
Modulation fasaha ce ta ɗaukar bayanai (murya, bayanai, bidiyo) sama da nisa ta hanyar fifita su akan igiyar ɗaukar kaya. Duk wata hanyar sadarwa mara waya, daga rediyo zuwa Wi-Fi, daga 5G zuwa tauraron dan adam, an gina su akan tsarin daidaitawa. A cikin wannan rukunin, zaku ga yadda ake amfani da AI don koyan nau'ikan daidaitawa, fahimtar dabaru na ƙungiyar taurari (wakiltan alamomin da aka daidaita a matsayin maki akan babban jirgin sama), da kuma nazarin aikin kuskure (ƙirar kuskuren bit, alaƙar sigina-zuwa amo). Bugu da ƙari, ƙa'idar tsakiya ta shafi: AI yana bayanin ka'idar da maƙasudin gabaɗaya daidai, amma ainihin aikin tsarin ku an ƙaddara shi ne kawai ta hanyar tashar tashar tashar, kwaikwayo da ma'auni.
Muhimman abubuwan analog da na'ura na dijital
A cikin daidaitawar analog, halayen mai ɗaukar hoto koyaushe ana canza su: amplitude (AM: Amplitude Modulation), mita (FM: Modulation Frequency) ko lokaci (PM). A cikin juzu'i na dijital, bayanai jeri ne na rago kuma an saita yanayin mai ɗaukar kaya zuwa matakan da aka ware:
- TAMBAYA/YA KYAU: Canjin girman girman; Mafi sauƙi, mai kula da surutu.
- FSK: Maɓallin motsi akai-akai; mai sauƙi kuma mai dorewa, ƙarancin inganci.
- PSK (BPSK, QPSK): Maɓallin motsi na lokaci; QPSK yana ɗaukar rago biyu a cikin alama ɗaya.
- QAM (16-QAM, 64-QAM, 256-QAM): Yana amfani da amplitude da lokaci; Yana ɗaukar ƙarin ragowa cikin alama amma ya fi kula da amo.
- OFDM: Yana sa shi juriya ga hanyoyin da yawa ta hanyar rarraba bayanan zuwa manyan ƴan kasuwa masu kunkuntar; Wi-Fi shine tushen LTE da 5G.
AI yayi bayanin sosai yadda waɗannan nau'ikan ke aiki, wanda aka fi so a cikin wane yanayi, da abin da zane-zanen taurari ke faɗi. Misali, ya bayyana a sarari tambayar "me yasa babban tsari QAM ke ɗaukar ƙarin bayanai amma yana buƙatar mafi kyawun SNR?"
SNR, BER da ribar coding
Sadarwa yana da alamomin aiki na asali guda biyu. SNR (Signal-to-Noise Ratio) shine rabon ikon sigina zuwa ƙarfin amo (dB). BER (Bit Kuskuren Rate) shine nawa ne aka karɓa daga cikin raƙuman da aka watsa ba daidai ba. Babban yanayin shine yayin da SNR ke ƙaruwa, BER yana raguwa. Kowane nau'in daidaitawa yana da madaidaicin BER-SNR; Tsarin tsari mafi girma (256-QAM) yana ɗaukar ƙarin bayanai amma yana buƙatar SNR mafi girma don cimma BER iri ɗaya.
Coding tashoshi (kuskuren gyara lambobin) yana ba mai karɓar damar gyara wasu kurakurai ta hanyar ƙara sakewa mai sarrafawa zuwa bayanan; Wannan yana ba da damar kiyaye BER iri ɗaya a ƙaramin SNR kuma ana kiransa ribar coding. Lambobi kamar LDPC, Turbo, Reed-Solomon daidaitattun tsarin zamani ne.
AI yayi bayanin waɗannan alaƙa da ka'idodin ka'idoji da kyau kuma yana rubuta lambar simulation. Amma faɗakarwa: ka'idar BER curve (misali AWGN, ɗaukan ƙara farin hayaniyar Gaussian) don ingantacciyar tashar. Tashar ku ta ainihi tana da yaɗa hanyoyi da yawa, tsangwama, hayaniyar lokaci, da kayan aikin kayan aiki; ainihin BER ya fi muni fiye da madaidaicin ka'idar. Ƙimar "BER a waccan SNR" da AI ta bayar shine bayanin farko, ba garantin tsarin ku ba.
Tukwici: Shin AI ta taƙaita binciken BER-SNR a sarari zuwa "Tsarin ka'ida yana ɗaukar tashar AWGN" kuma jera ainihin tasirin tashoshi (multipath, tsoma baki, kayan aikin kayan masarufi) a cikin keɓaɓɓen kai. Ta wannan hanyar za ku sanya bambanci tsakanin ka'idar da aiki a bayyane.
Zane na ƙungiyar taurari: kayan aikin bincike
Zane-zanen taurari yana nuna rarraba alamomin da aka karɓa a cikin hadadden jirgin sama kuma shine hanya mafi ƙarfi don karanta lafiyar tsarin sadarwa a gani. Abubuwan da suka dace ya kamata su kasance masu kaifi; Rushewa yana nuna amo, kuskuren lokacin juyi, matsalar girma/matsalar riba, tsangwama ga watsawa. AI na iya yin hasashen yuwuwar dalilai lokacin da kuka bayyana hoton ƙungiyar taurari. Amma tabbataccen ganewar asali an yi shi ne tare da ma'auni na kankare kamar ma'aunin siginar vector (VSA) da EVM (Kuskuren Vector Magnitude: girman kuskure tsakanin manufa da alama ta gaske).
uku mini lokuta
Case 1 - Iyakar babban QAM. Ƙungiya tana son matsawa daga 64-QAM zuwa 256-QAM don haɓaka kayan aiki. AI ya bayyana cewa 256-QAM yana buƙatar kusan 6 dB ƙarin SNR kuma BER zai fashe idan gefen haɗin bai isa ba. Ƙungiya ta ƙididdige kasafin kuɗin haɗin yanar gizon, yana auna cewa iyakar SNR a cikin filin shine kawai 3 dB, kuma ya watsar da canji. Anan AI ya ba da gargaɗin ra'ayi; Ma'aunin filin ya ƙaddara yanke shawara.
Case 2 - Fase tarkon amo. Injiniyan yana ganin babban BER duk da samun isasshen SNR bisa ga ka'idar lankwasa. Tattauna abubuwan da zasu iya haifar da AI; Fitowar ƙungiyar taurari ta juya tana nuna hayaniyar lokaci (ƙananan oscillator mara kyau). Ma'aunin VSA ya tabbatar da hakan kuma an inganta oscillator. Darasi: kodayake SNR na ka'idar ya isa, rashin lahani na kayan aiki na iya lalata BER; AI yana haifar da hasashe, ma'auni yana yin bincike.
Case na 3 - Rashin samun riba mai ɓoyewa. Wani ma'aikaci ya tambayi AI "DB nawa zan samu idan na ƙara lambar gyara kuskure"; AI yana ba da ƙimar gabaɗaya (~ 5-6 dB). Ko shakka babu mai aikin ya rubuta wannan a cikin kasafin kuɗin haɗin gwiwa. Koyaya, riba ya dogara da nau'in lambar, ƙimar lambar, girman toshe da tashar; A cikin wannan tsarin, ainihin riba shine ~ 3.5 dB ta hanyar kwaikwayo. Madaidaicin hali shine ɗaukar ribar coding daga simintin / auna tsarin kanta.
Samfuran gaggawar da za a iya kwafi
BER-SNR ANALYSIS TEMPLATE "Bayyana ma'anar dangantakar BER-SNR don [QPSK/16-QAM/64-QAM] tare da zato na tashar AWGN da kuma rubuta lambar da ke zana madaidaicin ka'idar tare da Python. KUMA ba da jerin nau'i daban-daban na tasirin (multipath, tsoma baki, amo na lokaci a cikin kuskuren tsarin hardware) wanda ke haifar da lahani na ainihi. BA a ba da ainihin filin BER ba;
KYAUTA KYAUTA TEMPLATE " Kwatanta makircin daidaitawa don maƙasudai masu zuwa: [bandwidth, ƙimar bayanan da aka yi niyya, keɓaɓɓen gefen SNR, ƙarancin wutar lantarki, mahalli mai yawa]. Bayyana ma'auni na ingantaccen gani, buƙatun SNR, da juriya ga kowane zaɓi. Bayyana cewa zaɓin ƙarshe ya kamata a tabbatar da shi ta hanyar haɗin yanar gizon kasafin kuɗi da binciken filin."
CONSTELATION DIAGNOSIS TEMPLATE "Kungiyar taurarin da aka karɓa tana da alamar da ke biyowa: [bayani na blurring/juyawa/jamming/dispersion]. Matsaloli masu yiwuwa (amo, hayaniyar lokaci, kuskuren riba, rashin daidaituwa na IQ, tsangwama, daidaitawa) ya bayyana a matsayin jerin hasashe. Ga kowane ma'auni, VSADO, wanda za a rubuta tare da Erum. KADA KA SANYA CIWON GASKIYA."
LINK MARGIIN CHECK TEMPLATE "Lissafi matakan da nake buƙatar dubawa kafin canza canji akan hanyar sadarwar sadarwa: SNR da ake buƙata, gefen haɗin yanar gizo na yanzu, ribar coding, yanayin tashar. Ƙayyade bayanan da nake buƙatar samun daga ma'auni / kwaikwaiyo don kowane mataki. Ba da doka gaba ɗaya amma jaddada cewa ina buƙatar tabbatar da lambobi."
Rauni mai ƙarfi / Ƙarfi mai ƙarfi
RAUNI GASKIYA: "Mene ne zai zama BER na 64-QAM?"
KARFIN KYAUTA: "Bayyana madaidaicin BER-SNR na 64-QAM yana ɗaukar tashar AWGN kuma rubuta lambar don tsara shi a cikin Python. Yi lissafin BER na ka'idar don SNR da aka ba (misali 20 dB), amma jaddada cewa wannan ita ce ƙimar tashar tashar ta dace, zai zama mafi muni a cikin ainihin tsarin saboda kayan aiki da yawa, ƙayyadaddun ƙayyadaddun lokaci da lalacewa ya kamata. "
Mai rauni mai sauri yana neman lamba ɗaya kuma yayi watsi da mahallin; Ƙarfi mai ƙarfi yana nuna bambanci tsakanin ka'idar da aiki da kuma zana layin tabbatarwa.
Teburin taƙaitaccen aiki na daidaitawa
makirci
ragowa ta alama
Ƙwarewar Spectral
SNR bukata
Yawan amfani
BPSK
1
ƙananan
mafi ƙasƙanci
Low gudun, m mahada
QPSK
2
matsakaici
ƙananan
Tauraron Dan Adam, tashar sarrafawa
16-QAM
4
babba
matsakaici
Wi-Fi, LTE matsakaici yanayin
64-QAM
6
mai girma
babba
LTE/Wi-Fi cikin yanayi mai kyau
256-QAM
8
mafi girma
mafi girma
Hanyoyin haɗi waɗanda ke buƙatar SNR mai kyau sosai
Hankali: Wannan ginshiƙi yana nuna yanayin gaba ɗaya; Madaidaicin madaidaicin SNR na kowane tsarin ya dogara da ƙimar lambar, ingancin mai karɓa da tashar. Ƙayyade madaidaicin tsari a cikin tebur da madaidaicin lamba tare da ma'aunin ku.
Kuskuren gama gari
- Kuskure madaidaicin ka'idar BER don garantin tsarin ainihin. Zaton AWGN shine don tashar manufa; ainihin tashar ta fi muni.
- Canzawa zuwa QAM mafi girma ba tare da duba gefen mahaɗin ba. Idan SNR bai isa ba, BER ya fashe.
- Tsammanin ribar rufaffen lamba ce ta dindindin. Abubuwan da aka samu sun dogara da nau'in lambar, ƙima da tashar; Ana auna shi daga tsarin kanta.
- Dangana alamar tauraro zuwa sanadi guda. Rushewa / juyawa na iya faruwa saboda dalilai masu yawa; an rabu da ma'auni.
- Yin watsi da kurakuran hardware (hayaniyar lokaci, rashin daidaituwar IQ). Ko da SNR ya isa, za su iya lalata BER.
a takaice
A cikin wannan rukunin kun yi amfani da AI azaman taimako mai ƙarfi a cikin koyan nau'ikan daidaitawa, dabaru na ƙungiyar taurari da alaƙar samun lambar BER-SNR, da ƙirƙirar ƙira a cikin lamba. Amma ka'idar masu lankwasa suna zuwa tare da zato na tashar manufa; Ana ƙayyade aikin ainihin tsarin ku ta hanyoyi da yawa, tsangwama, hayaniyar lokaci da kayan aikin kayan aiki kuma an ƙaddara ta ta hanyar kwaikwayo da aunawa kawai. Tabbatar da shawarar canjin canji ta hanyar haɗin haɗin gwiwa da ma'aunin filin, ganowar ƙungiyar taurari ta ma'aunin VSA/EVM, ribar coding ta hanyar simintin tsarin kanta.
Aikin aikace-aikace
Tare da samfurin "BER-SNR", tambayi AI don lambar Python wanda ke tsara ma'anar ma'anar QPSK da 16-QAM kuma kwatanta masu lankwasa biyu akan jadawali ɗaya. Sa'an nan kuma tambayi AI don fito da jerin daban-daban na akalla abubuwa biyar da ke haifar da tsarin na ainihi don kauce wa waɗannan masu lankwasa. A ƙarshe, bayyana alamar ƙungiyar taurari (misali, “tabo da aka juya”) kuma jera dalilai masu yiwuwa da ma'aunin tabbatarwa tare da samfurin “Constellation ganewar asali”.
jerin abubuwan dubawa
- [ ] Na iyakance ƙimar BER na AI zuwa "ka'idar AWGN", Ban la'akari da shi azaman garantin filin ba.
- [ ] Na dangana shawarar canza canjin yanayin don haɗa gefe da ma'aunin filin.
- [ ] Ribar coding ba ta daidaita ba, na samo shi daga simintin tsarin kansa.
- [ ] Na yi shirin raba alamar tauraro ta hanyar aunawa ba tare da sanya shi ga dalili guda ba.
- [ ] Na jera kurakuran hardware (hayaniyar lokaci, rashin daidaituwar IQ) azaman haɗari daban.
- [ ] Na karɓi oda a cikin tebur ɗin wasan kwaikwayon daidai yake da ƙimar kofa ta aunawa.