ra_waterfallsink.py

这是用python语言写的一个数字广播的信号处理工具包。利用它

#!/usr/bin/env python
#
# Copyright 2003,2004,2005 Free Software Foundation, Inc.
# 
# This file is part of GNU Radio
# 
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2, or (at your option)
# any later version.
# 
# GNU Radio is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
# 
# You should have received a copy of the GNU General Public License
# along with GNU Radio; see the file COPYING.  If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street,
# Boston, MA 02110-1301, USA.
# 

from gnuradio import gr, gru, window
from gnuradio.wxgui import stdgui
import wx
import gnuradio.wxgui.plot as plot
import numpy
import os
import threading
import math    

default_fftsink_size = (640,240)
default_fft_rate = gr.prefs().get_long('wxgui', 'fft_rate', 15)

def axis_design( x1, x2, nx ):
    # Given start, end, and number of labels, return value of first label,
    # increment between labels, number of unlabeled division between labels,
    # and scale factor.

    dx = abs( x2 - x1 )/float(nx+1)  # allow for space at each end
    ldx = math.log10(dx)
    l2 = math.log10(2.)
    l5 = math.log10(5.)
    le = math.floor(ldx)
    lf = ldx - le
    if lf < l2/2:
        c = 1
        dt = 10
    elif lf < (l2+l5)/2:
        c = 2
        dt = 4
    elif lf < (l5+1)/2:
        c = 5
        dt = 5
    else:
        c = 1
        dt = 10
        le += 1
    inc = c*pow( 10., le )
    first = math.ceil( x1/inc )*inc
    scale = 1.
    while ( abs(x1*scale) >= 1e5 ) or ( abs(x2*scale) >= 1e5 ):
        scale *= 1e-3
    return ( first, inc, dt, scale )
    

class waterfall_sink_base(object):
    def __init__(self, input_is_real=False, baseband_freq=0,
                 sample_rate=1, fft_size=512,
                 fft_rate=default_fft_rate,
                 average=False, avg_alpha=None, title='', ofunc=None, xydfunc=None):

        # initialize common attributes
        self.baseband_freq = baseband_freq
        self.sample_rate = sample_rate
        self.fft_size = fft_size
        self.fft_rate = fft_rate
        self.average = average
        self.ofunc = ofunc
        self.xydfunc = xydfunc
        if avg_alpha is None:
            self.avg_alpha = 2.0 / fft_rate
        else:
            self.avg_alpha = avg_alpha
        self.title = title
        self.input_is_real = input_is_real
        self.msgq = gr.msg_queue(2)         # queue up to 2 messages

    def reconnect( self, fg ):
        fg.connect( *self.block_list )

    def set_average(self, average):
        self.average = average
        if average:
            self.avg.set_taps(self.avg_alpha)
        else:
            self.avg.set_taps(1.0)

    def set_avg_alpha(self, avg_alpha):
        self.avg_alpha = avg_alpha

    def set_baseband_freq(self, baseband_freq):
        self.baseband_freq = baseband_freq

    def set_sample_rate(self, sample_rate):
        self.sample_rate = sample_rate
        self._set_n()

    def _set_n(self):
        self.one_in_n.set_n(max(1, int(self.sample_rate/self.fft_size/self.fft_rate)))
        
class waterfall_sink_f(gr.hier_block, waterfall_sink_base):
    def __init__(self, fg, parent, baseband_freq=0,
                 ref_level=0, sample_rate=1, fft_size=512,
                 fft_rate=default_fft_rate, average=False, avg_alpha=None,
                 title='', size=default_fftsink_size, report=None, span=40, ofunc=None, xydfunc=None):

        waterfall_sink_base.__init__(self, input_is_real=True,
                                     baseband_freq=baseband_freq,
                                     sample_rate=sample_rate,
                                     fft_size=fft_size, fft_rate=fft_rate,
                                     average=average, avg_alpha=avg_alpha,
                                     title=title)
                               
        s2p = gr.serial_to_parallel(gr.sizeof_float, self.fft_size)
        self.one_in_n = gr.keep_one_in_n(gr.sizeof_float * self.fft_size,
                                         max(1, int(self.sample_rate/self.fft_size/self.fft_rate)))
        mywindow = window.blackmanharris(self.fft_size)
        fft = gr.fft_vfc(self.fft_size, True, mywindow)
        c2mag = gr.complex_to_mag(self.fft_size)
        self.avg = gr.single_pole_iir_filter_ff(1.0, self.fft_size)
        log = gr.nlog10_ff(20, self.fft_size, -20*math.log10(self.fft_size))
        sink = gr.message_sink(gr.sizeof_float * self.fft_size, self.msgq, True)

        self.block_list = (s2p, self.one_in_n, fft, c2mag, self.avg, log, sink)
        self.reconnect( fg )
        gr.hier_block.__init__(self, fg, s2p, sink)

        self.win = waterfall_window(self, parent, size=size, report=report,
                                    ref_level=ref_level, span=span, ofunc=ofunc, xydfunc=xydfunc)
        self.set_average(self.average)


class waterfall_sink_c(gr.hier_block, waterfall_sink_base):
    def __init__(self, fg, parent, baseband_freq=0,
                 ref_level=0, sample_rate=1, fft_size=512,
                 fft_rate=default_fft_rate, average=False, avg_alpha=None, 
                 title='', size=default_fftsink_size, report=None, span=40, ofunc=None, xydfunc=None):

        waterfall_sink_base.__init__(self, input_is_real=False,
                                     baseband_freq=baseband_freq,
                                     sample_rate=sample_rate,
                                     fft_size=fft_size,
                                     fft_rate=fft_rate,
                                     average=average, avg_alpha=avg_alpha,
                                     title=title)

        s2p = gr.serial_to_parallel(gr.sizeof_gr_complex, self.fft_size)
        self.one_in_n = gr.keep_one_in_n(gr.sizeof_gr_complex * self.fft_size,
                                         max(1, int(self.sample_rate/self.fft_size/self.fft_rate)))

        mywindow = window.blackmanharris(self.fft_size)
        fft = gr.fft_vcc(self.fft_size, True, mywindow)
        c2mag = gr.complex_to_mag(self.fft_size)
        self.avg = gr.single_pole_iir_filter_ff(1.0, self.fft_size)
        log = gr.nlog10_ff(20, self.fft_size, -20*math.log10(self.fft_size))
        sink = gr.message_sink(gr.sizeof_float * self.fft_size, self.msgq, True)

        self.block_list = (s2p, self.one_in_n, fft, c2mag, self.avg, log, sink)
        self.reconnect( fg )
        gr.hier_block.__init__(self, fg, s2p, sink)

        self.win = waterfall_window(self, parent, size=size, report=report,
                                    ref_level=ref_level, span=span, ofunc=ofunc, xydfunc=xydfunc)
        self.set_average(self.average)


# ------------------------------------------------------------------------

myDATA_EVENT = wx.NewEventType()
EVT_DATA_EVENT = wx.PyEventBinder (myDATA_EVENT, 0)


class DataEvent(wx.PyEvent):
    def __init__(self, data):
        wx.PyEvent.__init__(self)
        self.SetEventType (myDATA_EVENT)
        self.data = data

    def Clone (self): 
        self.__class__ (self.GetId())


class input_watcher (threading.Thread):
    def __init__ (self, msgq, fft_size, event_receiver, **kwds):
        threading.Thread.__init__ (self, **kwds)
        self.setDaemon (1)
        self.msgq = msgq
        self.fft_size = fft_size
        self.event_receiver = event_receiver
        self.keep_running = True
        self.start ()

    def run (self):
        while (self.keep_running):
            msg = self.msgq.delete_head()  # blocking read of message queue
            itemsize = int(msg.arg1())
            nitems = int(msg.arg2())

            s = msg.to_string()            # get the body of the msg as a string

            # There may be more than one FFT frame in the message.
            # If so, we take only the last one
            if nitems > 1:
                start = itemsize * (nitems - 1)
                s = s[start:start+itemsize]

            complex_data = numpy.fromstring (s, numpy.float32)
            de = DataEvent (complex_data)
            wx.PostEvent (self.event_receiver, de)
            del de
    

class waterfall_window (wx.ScrolledWindow):
    def __init__ (self, fftsink, parent, id = -1,
                  pos = wx.DefaultPosition, size = wx.DefaultSize,
                  style = wx.DEFAULT_FRAME_STYLE, name = "", report=None,
                  ref_level = 0, span = 50, ofunc=None, xydfunc=None):
        wx.ScrolledWindow.__init__(self, parent, id, pos, size,
                                   style|wx.HSCROLL, name)
        self.parent = parent
        self.SetCursor(wx.StockCursor(wx.CURSOR_IBEAM))
        self.ref_level = ref_level
        self.scale_factor = 256./span

        self.ppsh = 128  # pixels per scroll, horizontal
        self.SetScrollbars( self.ppsh, 0, fftsink.fft_size/self.ppsh, 0 )

        self.fftsink = fftsink
        self.size = size
        self.report = report
        self.ofunc = ofunc
        self.xydfunc = xydfunc

        dc1 = wx.MemoryDC()
        dc1.SetFont( wx.SMALL_FONT )
        self.h_scale = dc1.GetCharHeight() + 3
        #self.bm_size = ( self.fftsink.fft_size, self.size[1] - self.h_scale )
        self.im_size = ( self.fftsink.fft_size, self.size[1] - self.h_scale )
        #self.bm = wx.EmptyBitmap( self.bm_size[0], self.bm_size[1], -1)
        self.im = wx.EmptyImage( self.im_size[0], self.im_size[1], True )
        self.im_cur = 0

        self.baseband_freq = None

        self.make_pens()

        wx.EVT_PAINT( self, self.OnPaint )
        wx.EVT_CLOSE (self, self.on_close_window)
        #wx.EVT_LEFT_UP(self, self.on_left_up)
        #wx.EVT_LEFT_DOWN(self, self.on_left_down)
        EVT_DATA_EVENT (self, self.set_data)
        
        self.build_popup_menu()
        
        wx.EVT_CLOSE (self, self.on_close_window)
        self.Bind(wx.EVT_RIGHT_UP, self.on_right_click)
        self.Bind(wx.EVT_MOTION, self.on_motion)

        self.down_pos = None

        self.input_watcher = input_watcher(fftsink.msgq, fftsink.fft_size, self)

    def on_close_window (self, event):
        self.keep_running = False

    def on_left_down( self, evt ):
        self.down_pos = evt.GetPosition()
        self.down_time = evt.GetTimestamp()

    def on_left_up( self, evt ):
        if self.down_pos:
            dt = ( evt.GetTimestamp() - self.down_time )/1000.
            pph = self.fftsink.fft_size/float(self.fftsink.sample_rate)
            dx =  evt.GetPosition()[0] - self.down_pos[0]
            if dx != 0:
                rt = pph/dx
            else:
                rt = 0
            t = 'Down time: %f  Delta f: %f  Period: %f' % ( dt, dx/pph, rt )
            print t
            if self.report:
                self.report(t)

    def on_motion(self, event):
        if self.xydfunc:
            pos = event.GetPosition()
            self.xydfunc(pos)


    def const_list(self,const,len):
        return [const] * len

    def make_colormap(self):
        r = []
        r.extend(self.const_list(0,96))
        r.extend(range(0,255,4))
        r.extend(self.const_list(255,64))
        r.extend(range(255,128,-4))
        
        g = []
        g.extend(self.const_list(0,32))
        g.extend(range(0,255,4))
        g.extend(self.const_list(255,64))
        g.extend(range(255,0,-4))
        g.extend(self.const_list(0,32))
        
        b = range(128,255,4)
        b.extend(self.const_list(255,64))
        b.extend(range(255,0,-4))
        b.extend(self.const_list(0,96))
        return (r,g,b)

    def make_pens(self):
        (r,g,b) = self.make_colormap()
        self.rgb = numpy.transpose( numpy.array( (r,g,b) ).astype(numpy.int8) )
        
    def OnPaint(self, event):
        dc = wx.BufferedPaintDC(self)
        self.DoDrawing( dc )

    def DoDrawing(self,dc):
        w, h = self.GetClientSizeTuple()
        w = min( w, self.fftsink.fft_size )
        if w <= 0:
            return