Coherent matched filter signal‐processing algorithms for probing the ionosphere using broadband RF data

نویسندگان

  • S. Close
  • A. Fletcher
  • M. Dunham
  • I. Linscott
چکیده

[1] We have developed a new method for extracting ionospheric parameters from broadband RF data collected in low‐Earth orbit using coherent matched filters. The coherent matched filter uses the full time series of the electric field and matches the Fourier transform of these data with an ionospheric transfer function. This approach was applied to both lightning and human‐made data transmitted on or near the ground and collected on‐board the FORTE satellite, which is a low‐Earth orbiting satellite with a broadband RF VHF receiver. We show that this approach allows us to discriminate natural (i.e., lightning) from human‐made signals and provides a more accurate estimate of the total electron content (TEC) compared to the quasi‐longitudinal approach applied to low VHF data. A comparison of TEC retrieval methods and sensitivity is described herein.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Dual Carrier Probing for Spaceborne SAR Imaging

Spaceborne imaging of the Earth’s surface by synthetic aperture radar (SAR) may be adversely affected by the ionosphere that causes distortions of the signals emitted and received by the radar antenna. In our previous publication on the subject [SIAM J. Imaging Sci., 2 (2009) pp. 140–182], we have analyzed those distortions for the inhomogeneous ionosphere described by the cold plasma model. Ba...

متن کامل

Fast Reconstruction of SAR Images with Phase Error Using Sparse Representation

In the past years, a number of algorithms have been introduced for synthesis aperture radar (SAR) imaging. However, they all suffer from the same problem: The data size to process is considerably large. In recent years, compressive sensing and sparse representation of the signal in SAR has gained a significant research interest. This method offers the advantage of reducing the sampling rate, bu...

متن کامل

Infrared Counter-Countermeasure Efficient Techniques using Neural Network, Fuzzy System and Kalman Filter

This paper presents design and implementation of three new Infrared Counter-Countermeasure (IRCCM) efficient methods using Neural Network (NN), Fuzzy System (FS), and Kalman Filter (KF). The proposed algorithms estimate tracking error or correction signal when jamming occurs. An experimental test setup is designed and implemented for performance evaluation of the proposed methods. The methods v...

متن کامل

Extending the Radar Dynamic Range using Adaptive Pulse Compression

The matched filter in the radar receiver is only adapted to the transmitted signal version and its output will be wasted due to non-matching with the received signal from the environment. The sidelobes amplitude of the matched filter output in pulse compression radars are dependent on the transmitted coded waveforms that extended as much as the length of the code on both sides of the target loc...

متن کامل

Detection of Coastline Using Satellite Image-Processing Technique

Extended abstract 1- Introduction  Coasts maintain their natural sustainability without human intervention and in spite of short-term changes, we are ultimately confronted with a coastal healthy environment, i.e. natural, rocky beaches, sandy beaches and so on. Today's use of remote sensing in most natural sciences is widespread. Due to the fact that fieldwork is costly and time-consuming, ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011