mirror of
https://github.com/saitohirga/WSJT-X.git
synced 2025-09-03 13:47:51 -04:00
bf364de0af
This builds on the static phase compensation in the MSK144 decoder and the phase analysis and polynomial fitting capabilities also in teh MSK144 decoder, by allowing captured data to be selected for phase equalization from the WSJT-X UI. Reads captured phase compensation curve estimate files containing fitted polynomial coefficients and measured phase data from MSK144 receptions. Intent is to select a compensation curve that is from a known transmitter like an SDR which have good phase linearity. Phase plots and compensation polynomials may be viewed and compared with the current compensation polynomial. A suitable polynomial can be applied to be use in all further decoding of MSK144 signals. Plots of the currently selected polynomial and its modified higher order terms polynomial which is actually used in equalization (this plot may be dropped - it is just for kicks at the moment). When a captured phase analysis file is loaded plots of the measured phase and the proposed best fit polynomial are shown. Basic maintenance is also included allowing clearing and loading captured plots and an option to revert to a flat no equalization curve. More to come on this as amplitude equalization is also possible, this will probably be similar, maybe even plotted on the same graph with dual axes for phase and amplitude. Amplitude correction from a measured reference spectrum could be viewed and selected for equalization for all modes. TBC... This change also introduces the QCustomPlot 3rd party widget. Currently this is statically linked from a qcp library built by the WSJT-X CMake script. This will probably be migrated to a shared object (DLL) build as a CMake external project, once some CMake script re-factoring has been completed, which is more in line with the QCustomPlot author's intentions. This will allow efficient reuse in other tools shipped with WSJT-X. git-svn-id: svn+ssh://svn.code.sf.net/p/wsjt/wsjt/branches/wsjtx@7570 ab8295b8-cf94-4d9e-aec4-7959e3be5d79
218 lines
6.1 KiB
Fortran
218 lines
6.1 KiB
Fortran
subroutine msk144signalquality(cframe,snr,freq,t0,softbits,msg,dxcall, &
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btrain,datadir,nbiterrors,eyeopening,pcoeffs)
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character*22 msg,msgsent
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character*12 dxcall
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character*12 training_dxcall
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character*12 trained_dxcall
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character*6 mygrid
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character*512 pcoeff_filename
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character*8 date
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character*10 time
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character*5 zone
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character*512 datadir
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complex cframe(864)
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complex cross(864)
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complex cross_avg(864)
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complex canalytic(1024)
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complex cmodel(1024)
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integer i4tone(144)
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integer hardbits(144)
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integer msgbits(144)
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integer values(8)
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logical*1 bcontest
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logical*1 btrain
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logical*1 first
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logical*1 currently_training
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logical*1 msg_has_dxcall
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logical*1 is_training_frame
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real softbits(144)
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real waveform(0:863)
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real d(1024)
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real phase(864)
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real twopi,freq,phi,dphi0,dphi1,dphi
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real*8 x(145),y(145),pp(145),sigmay(145),a(5),chisqr
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real pcoeffs(5)
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data first/.true./
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save cross_avg,wt_avg,first,currently_training, &
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navg,tlast,training_dxcall,trained_dxcall
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if (first) then
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navg=0
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cross=cmplx(0.0,0.0)
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cross_avg=cmplx(0.0,0.0)
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wt_avg=0.0
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tlast=0.0
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trained_dxcall(1:12)=' '
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training_dxcall(1:12)=' '
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currently_training=.false.
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first=.false.
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endif
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if( (currently_training .and. (dxcall .ne. training_dxcall)) .or. &
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(navg .gt. 10 )) then !reset and retrain
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navg=0
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cross=cmplx(0.0,0.0)
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cross_avg=cmplx(0.0,0.0)
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wt_avg=0.0
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tlast=0.0
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trained_dxcall(1:12)=' '
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currently_training=.false.
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training_dxcall(1:12)=' '
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trained_dxcall(1:12)=' '
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write(*,*) 'reset to untrained state '
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endif
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indx_dxcall=index(msg,trim(dxcall))
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msg_has_dxcall = indx_dxcall .ge. 4
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if( btrain .and. msg_has_dxcall .and. (.not. currently_training) ) then
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currently_training=.true.
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training_dxcall=trim(dxcall)
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trained_dxcall(1:12)=' '
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write(*,*) 'start training on call ',training_dxcall
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endif
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if( msg_has_dxcall .and. currently_training ) then
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trained_dxcall(1:12)=' '
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training_dxcall=dxcall
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endif
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! use decoded message to figure out how many bit errors in the frame
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do i=1, 144
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hardbits(i)=0
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if(softbits(i) .gt. 0 ) hardbits(i)=1
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enddo
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! generate tones from decoded message
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mygrid="EN50"
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ichk=0
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bcontest=.false.
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call genmsk144(msg,mygrid,ichk,bcontest,msgsent,i4tone,itype)
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! reconstruct message bits from tones
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msgbits(1)=0
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do i=1,143
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if( i4tone(i) .eq. 0 ) then
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if( mod(i,2) .eq. 1 ) then
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msgbits(i+1)=msgbits(i)
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else
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msgbits(i+1)=mod(msgbits(i)+1,2)
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endif
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else
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if( mod(i,2) .eq. 1 ) then
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msgbits(i+1)=mod(msgbits(i)+1,2)
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else
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msgbits(i+1)=msgbits(i)
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endif
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endif
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enddo
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nbiterrors=0
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do i=1,144
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if( hardbits(i) .ne. msgbits(i) ) nbiterrors=nbiterrors+1
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enddo
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nplus=0
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nminus=0
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eyetop=1
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eyebot=-1
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do i=1,144
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if( msgbits(i) .eq. 1 ) then
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if( softbits(i) .lt. eyetop ) eyetop=softbits(i)
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else
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if( softbits(i) .gt. eyebot ) eyebot=softbits(i)
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endif
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enddo
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eyeopening=eyetop-eyebot
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is_training_frame = &
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(snr.gt.5.0 .and.(nbiterrors.lt.7)) .and. &
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(abs(t0-tlast) .gt. 0.072) .and. &
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msg_has_dxcall
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if( currently_training .and. is_training_frame ) then
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twopi=8.0*atan(1.0)
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nsym=144
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if( i4tone(41) .lt. 0 ) nsym=40
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dphi0=twopi*(freq-500)/12000.0
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dphi1=twopi*(freq+500)/12000.0
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phi=-twopi/8
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indx=0
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do i=1,nsym
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if( i4tone(i) .eq. 0 ) then
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dphi=dphi0
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else
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dphi=dphi1
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endif
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do j=1,6
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waveform(indx)=cos(phi);
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indx=indx+1
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phi=mod(phi+dphi,twopi)
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enddo
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enddo
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! convert the passband waveform to complex baseband
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npts=864
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nfft=1024
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d=0
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d(1:864)=waveform(0:863)
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call analytic(d,npts,nfft,canalytic,pcoeffs,.false.,.false.) ! don't equalize the model
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call tweak1(canalytic,nfft,-freq,cmodel)
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call four2a(cframe(1:864),864,1,-1,1)
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call four2a(cmodel(1:864),864,1,-1,1)
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! Cross spectra from different messages can be averaged
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! as long as all messages originate from dxcall.
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cross=cmodel(1:864)*conjg(cframe)/1000.0
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cross=cshift(cross,864/2)
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cross_avg=cross_avg+10**(snr/20.0)*cross
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wt_avg=wt_avg+10**(snr/20.0)
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navg=navg+1
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tlast=t0
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phase=atan2(imag(cross_avg),real(cross_avg))
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df=12000.0/864.0
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nm=145
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do i=1,145
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x(i)=(i-73)*df/1000.0
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enddo
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y=phase((864/2-nm/2):(864/2+nm/2))
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sigmay=wt_avg/abs(cross_avg((864/2-nm/2):(864/2+nm/2)))
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mode=1
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npts=145
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nterms=5
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call polyfit(x,y,sigmay,npts,nterms,mode,a,chisqr)
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pp=a(1)+x*(a(2)+x*(a(3)+x*(a(4)+x*a(5))))
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rmsdiff=sum( (pp-phase((864/2-nm/2):(864/2+nm/2)))**2 )/145.0
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write(*,*) 'training ',navg,sqrt(chisqr),rmsdiff
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if( (sqrt(chisqr).lt.1.8) .and. (rmsdiff.lt.0.5) .and. (navg.ge.2) ) then
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trained_dxcall=dxcall
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training_dxcall(1:12)=' '
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currently_training=.false.
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btrain=.false.
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call date_and_time(date,time,zone,values)
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write(pcoeff_filename,'(i2.2,i2.2,i2.2,"_",i2.2,i2.2,i2.2)') &
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values(1)-2000,values(2),values(3),values(5),values(6),values(7)
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pcoeff_filename=trim(trained_dxcall)//"_"//trim(pcoeff_filename)//".pcoeff"
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l1=index(datadir,char(0))-1
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datadir(l1+1:l1+1)="/"
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pcoeff_filename=datadir(1:l1+1)//trim(pcoeff_filename)
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write(*,*) 'trained - writing coefficients to: ',pcoeff_filename
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open(17,file=pcoeff_filename,status='new')
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write(17,'(i4,2f10.2,5f10.4)') navg,sqrt(chisqr),rmsdiff,a(1),a(2),a(3),a(4),a(5)
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do i=1, 145
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write(17,*) x(i),pp(i),y(i),sigmay(i)
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enddo
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do i=1,864
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write(17,*) i,real(cframe(i)),imag(cframe(i)),real(cross_avg(i)),imag(cross_avg(i))
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enddo
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close(17)
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endif
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endif
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return
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end subroutine msk144signalquality
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