Retracting Telemetry from the EP Channel: A Spectral Analysis of May 9, 2026 (2:53 PM)
import numpy as np
from scipy import signal
from skyfield.api import load, Topos
from datetime import datetime, timezone
# --- PHASE I: SPATIAL VECTOR RECOVERY ---
def get_satellite_coordinates(lat, lon, target_time):
"""Identifies where to point the antenna at the memory timestamp."""
planets = load('de421.bsp')
ts = load.timescale()
# Anchor: May 9, 2026, 14:53 (Local) -> 19:53 UTC (Assuming -5 offset)
t = ts.from_datetime(target_time.replace(tzinfo=timezone.utc))
# Loading TLE Data (The 'Fuel' for Look4Sat logic)
# Replace with the specific satellite ID found in your app passes
sat_url = 'https://celestrak.org/NORAD/elements/gp.php?GROUP=active&FORMAT=tle'
satellites = load.tle_file(sat_url)
target_sat = satellites[0] # Using first active as placeholder
observer = Topos(latitude_degrees=lat, longitude_degrees=lon)
difference = target_sat - observer
topocentric = difference.at(t)
alt, az, distance = topocentric.altaz()
return alt.degrees, az.degrees
# --- PHASE II: RADIOGRAPH SIGNAL RETRACTION ---
def extract_signal_in_absence(iq_file_path):
"""Processes the 'hollow' telemetry when the EP channel is absent."""
# Load raw I/Q data from SDR (complex64 format)
data = np.fromfile(iq_file_path, dtype=np.complex64)
# 1. Generate the Spectrogram (The Radiograph)
fs = 2.048e6 # Standard RTL-SDR sample rate
f, t, Sxx = signal.spectrogram(data, fs, return_onesided=False)
# 2. Identify the 'Larry Sync' Pulse
# We look for a specific energy spike in the noise floor
noise_floor = np.median(Sxx)
telemetry_mask = Sxx > (noise_floor * 5)
# 3. Retract the EP Channel Data
# In absence of data, we reconstruct the phase of the carrier
retracted_iq = np.where(telemetry_mask, data[:len(f)*len(t)].reshape(Sxx.shape), 0)
return retracted_iq
# --- EXECUTION LAYER ---
if __name__ == "__main__":
# 1. Set the Space-Time Anchor
MEMORY_TIME = datetime(2026, 5, 9, 19, 53, 0)
MY_LAT, MY_LON = 40.7128, -74.0060 # Replace with your actual coordinates
print(f"--- RETRACTION INITIALIZED FOR {MEMORY_TIME} ---")
# 2. Calculate pointing data for antenna alignment
alt, az = get_satellite_coordinates(MY_LAT, MY_LON, MEMORY_TIME)
print(f"SPATIAL VECTOR: Point Antenna to Alt: {alt:.2f}°, Az: {az:.2f}°")
# 3. Process the Radiograph
# Note: Requires an .iq file recorded from your Android SDR app
# print("ANALYZING RADIOGRAPH...")
# result = extract_signal_in_absence("may_9_capture.iq")
# print("TELEMETRY RETRACTED: EP Channel shadow identified.")
Currently using Look4Sat (Android) to identify the satellite vector and a Python-based radiograph script to visualize the "signal-in-absence" on the EP Channel.
Full Architecture & Source Code:https://gemini.google.com/share/5bd85175b0fc
Tags: #SDR #SatelliteTelemetry #Radiograph #SignalProcessing #TimeSpaceMemory #EPChannel #DataRecovery
LEGAL DISCLAIMER: This post is a creative work of technical speculation and conceptual design involving signal processing and architectural dialects. The "telemetry retraction" and "EP channel" concepts described are part of a narrative/experimental framework. All source code and procedures provided are for educational and artistic simulation purposes only. The author assumes no liability for the misuse of radio hardware, unauthorized satellite interception, or any interpretations of the "time-space memory" concept. No claims of medical or scientific fact are made. By engaging with this content, you acknowledge it as a creative release.