将下面matlab代码function [channel] = preRun(acqResults, settings)%% Initialize all channels ================================================ channel = []; % Clear, create the structure channel.PRN = 0; % PRN number of the tracked satellite channel.acquiredFreq = 0; % Used as the center frequency of the NCO channel.codePhase = 0; % Position of the C/A start channel.codeFreq = 0; % Used as the center frequency of the code NCO channel.status = '-'; % Mode/status of the tracking channel % "-" - "off" - no signal to track % "T" - Tracking state %--- Copy initial data to all channels ------------------------------------ channel = repmat(channel, 1, settings.numberOfChannels); %% Copy acquisition results =============================================== %--- Sort peaks to find strongest signals, keep the peak index information [~, PRNindexes] = sort(acqResults.peakMetric, 2, 'descend'); %--- Load information about each satellite -------------------------------- % Maximum number of initialized channels is number of detected signals, but % not more as the number of channels specified in the settings. for ii = 1:min([settings.numberOfChannels, sum(acqResults.carrFreq ~= 0)]) channel(ii).PRN = PRNindexes(ii); channel(ii).acquiredFreq = acqResults.carrFreq(PRNindexes(ii)); channel(ii).codePhase = acqResults.codePhase(PRNindexes(ii)); channel(ii).codeFreq = settings.codeFreqBasis + ... (channel(ii).acquiredFreq - settings.IF)/... settings.carrFreqBasis * settings.codeFreqBasis; % Set tracking into mode (there can be more modes if needed e.g. pull-in) channel(ii).status = 'T'; end转成python

以下是将该 MATLAB 代码转换为 Python 的代码：

import numpy as np

def preRun(acqResults, settings):
    # Initialize all channels
    channel = {}
    channel['PRN'] = 0
    channel['acquiredFreq'] = 0
    channel['codePhase'] = 0
    channel['codeFreq'] = 0
    channel['status'] = '-'

    # Copy initial data to all channels
    channel = [channel] * settings['numberOfChannels']

    # Copy acquisition results
    # Sort peaks to find strongest signals, keep the peak index information
    PRNindexes = np.argsort(acqResults['peakMetric'])[::-1]

    # Load information about each satellite
    # Maximum number of initialized channels is number of detected signals, but
    # not more as the number of channels specified in the settings.
    for ii in range(min(settings['numberOfChannels'], sum(acqResults['carrFreq'] != 0))):
        channel[ii]['PRN'] = PRNindexes[ii]
        channel[ii]['acquiredFreq'] = acqResults['carrFreq'][PRNindexes[ii]]
        channel[ii]['codePhase'] = acqResults['codePhase'][PRNindexes[ii]]
        channel[ii]['codeFreq'] = settings['codeFreqBasis'] + \
            (channel[ii]['acquiredFreq'] - settings['IF']) / \
            settings['carrFreqBasis'] * settings['codeFreqBasis']
        # Set tracking into mode (there can be more modes if needed e.g. pull-in)
        channel[ii]['status'] = 'T'

    return channel