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https://github.com/saitohirga/WSJT-X.git
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3c7e20b05b
git-svn-id: svn+ssh://svn.code.sf.net/p/wsjt/wsjt/branches/wsjtx@7561 ab8295b8-cf94-4d9e-aec4-7959e3be5d79
166 lines
4.3 KiB
Fortran
166 lines
4.3 KiB
Fortran
subroutine sync64(c0,nf1,nf2,nfqso,ntol,mode64,emedelay,dtx,f0,jpk,sync, &
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sync2,width)
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use timer_module, only: timer
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parameter (NMAX=60*12000) !Max size of raw data at 12000 Hz
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parameter (NSPS=3456) !Samples per symbol at 6000 Hz
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parameter (NSPC=7*NSPS) !Samples per Costas array
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real s1(0:NSPC-1) !Power spectrum of Costas 1
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real s2(0:NSPC-1) !Power spectrum of Costas 2
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real s3(0:NSPC-1) !Power spectrum of Costas 3
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real s0(0:NSPC-1) !Sum of s1+s2+s3
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real s0a(0:NSPC-1) !Best synchromized spectrum (saved)
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real s0b(0:NSPC-1) !tmp
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real a(5)
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integer icos7(0:6) !Costas 7x7 tones
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integer ipk0(1)
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complex cc(0:NSPC-1) !Costas waveform
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complex c0(0:720000) !Complex spectrum of dd()
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complex c1(0:NSPC-1) !Complex spectrum of Costas 1
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complex c2(0:NSPC-1) !Complex spectrum of Costas 2
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complex c3(0:NSPC-1) !Complex spectrum of Costas 3
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data icos7/2,5,6,0,4,1,3/ !Costas 7x7 tone pattern
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data mode64z/-1/
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save
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if(mode64.ne.mode64z) then
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twopi=8.0*atan(1.0)
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dfgen=mode64*12000.0/6912.0
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k=-1
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phi=0.
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do j=0,6 !Compute complex Costas waveform
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dphi=twopi*10.0*icos7(j)*dfgen/6000.0
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do i=1,NSPS
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phi=phi + dphi
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if(phi.gt.twopi) phi=phi-twopi
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k=k+1
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cc(k)=cmplx(cos(phi),sin(phi))
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enddo
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enddo
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mode64z=mode64
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endif
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nfft3=NSPC
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nh3=nfft3/2
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df3=6000.0/nfft3
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fa=max(nf1,nfqso-ntol)
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fb=min(nf2,nfqso+ntol)
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iaa=max(0,nint(fa/df3))
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ibb=min(NSPC-1,nint(fb/df3))
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maxtol=max(ntol,500)
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fa=max(nf1,nfqso-maxtol)
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fb=min(nf2,nfqso+maxtol)
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ia=max(0,nint(fa/df3))
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ib=min(NSPC-1,nint(fb/df3))
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id=0.1*(ib-ia)
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iz=ib-ia+1
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sync=-1.e30
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smaxall=0.
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jpk=0
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ja=0
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jb=(5.0+emedelay)*6000
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jstep=100
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ipk=0
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kpk=0
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nadd=10*mode64
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if(mod(nadd,2).eq.0) nadd=nadd+1 !Make nadd odd
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nskip=max(49,nadd)
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do j1=ja,jb,jstep
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call timer('sync64_1',0)
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j2=j1 + 39*NSPS
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j3=j1 + 77*NSPS
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c1=1.e-4*c0(j1:j1+NSPC-1) * conjg(cc)
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c2=1.e-4*c0(j2:j2+NSPC-1) * conjg(cc)
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c3=1.e-4*c0(j3:j3+NSPC-1) * conjg(cc)
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call four2a(c1,nfft3,1,-1,1)
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call four2a(c2,nfft3,1,-1,1)
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call four2a(c3,nfft3,1,-1,1)
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s1=0.
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s2=0.
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s3=0.
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s0b=0.
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do i=ia,ib
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freq=i*df3
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s1(i)=real(c1(i))**2 + aimag(c1(i))**2
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s2(i)=real(c2(i))**2 + aimag(c2(i))**2
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s3(i)=real(c3(i))**2 + aimag(c3(i))**2
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enddo
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call timer('sync64_1',1)
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call timer('sync64_2',0)
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s0(ia:ib)=s1(ia:ib) + s2(ia:ib) + s3(ia:ib)
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s0(:ia-1)=0.
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s0(ib+1:)=0.
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if(nadd.ge.3) then
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do ii=1,3
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s0b(ia:ib)=s0(ia:ib)
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call smo(s0b(ia:ib),iz,s0(ia:ib),nadd)
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enddo
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endif
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call averms(s0(ia+id:ib-id),iz-2*id,nskip,ave,rms)
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s=(maxval(s0(iaa:ibb))-ave)/rms
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ipk0=maxloc(s0(iaa:ibb))
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ip=ipk0(1) + iaa - 1
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if(s.gt.sync) then
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jpk=j1
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s0a=(s0-ave)/rms
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sync=s
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dtx=jpk/6000.0 - 1.0
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ipk=ip
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f0=ip*df3
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endif
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call timer('sync64_2',1)
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enddo
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s0a=s0a+2.0
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! write(17) ia,ib,s0a(ia:ib) !Save data for red curve
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! close(17)
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nskip=50
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call lorentzian(s0a(ia+nskip:ib-nskip),iz-2*nskip,a)
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f0a=(a(3)+ia+49)*df3
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w1=df3*a(4)
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w2=2*nadd*df3
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width=w1
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if(w1.gt.1.2*w2) width=sqrt(w1**2 - w2**2)
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sq=0.
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do i=1,20
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j=ia+nskip+1
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k=ib-nskip-21+i
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sq=sq + (s0a(j)-a(1))**2 + (s0a(k)-a(1))**2
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enddo
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rms2=sqrt(sq/40.0)
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sync2=10.0*log10(a(2)/rms2)
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slimit=6.0
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rewind 17
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write(17,1110) 0.0,0.0
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rewind 17
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! rewind 76
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do i=2,iz-2*nskip-1,3
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x=i
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z=(x-a(3))/(0.5*a(4))
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yfit=a(1)
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if(abs(z).lt.3.0) then
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d=1.0 + z*z
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yfit=a(1) + a(2)*(1.0/d - 0.1)
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endif
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j=i+ia+49
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freq=j*df3
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ss=(s0a(j-1)+s0a(j)+s0a(j+1))/3.0
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if(ss.gt.slimit) write(17,1110) freq,ss
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1110 format(3f10.3)
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! write(76,1110) freq,ss,yfit
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enddo
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flush(17)
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close(17)
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! flush(76)
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return
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end subroutine sync64
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