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Bradley Natarian Advisor: Prof. Rick Blum Implementation of Passive Radar with a Software Defined Radio Platform Acknowledgement(s): Jacob A. Gilbert and Jack L. Burbank Johns Hopkins Applied Physics Laboratory John W. Franklin University of North Texas Mark A. Richards Georgia Tech David and Lorraine Freed Undergraduate Research Symposium, Lehigh University Electrical and Computer Engineering Lehigh University, Bethlehem, PA Passive radar: Uses the reflected energy of electromagnetic waves from third-party sources (illuminators of opportunity) to detect and track targets Does not require a transmitter Advantages compared to traditional radar systems Cost effective Can be used for covert operations Difficult to jam Definitions Software Defined Radio (SDR): A radio system comprised of: Wideband, software independent hardware Signal processing executed on a general purpose processor Can be used to explore a wide band of frequencies Approach A single SDR passive radar receiver will be simulated and implemented to prove that it can detect the time of flight from an illuminator to a target to the receiver. Electromagnetic waves are transmitted from an illuminator of opportunity These transmissions are received via two paths A direct path from the illuminator to the direct path receiver with known distance, A reflected path from the illuminator to the target to the reflected path receiver with unknown distance, + The transmitted signal can be recovered by subtracting the delay, ,from the received signal, , to obtain the transmitted signal, () The time of flight of the reflected path, ( + ), can be calculated with a matched filter Time of flight can then be used to calculate the total distance from the illuminator to the target to the receivers, + Principles of Operation Use three receivers to triangulate the position of the target relative to the illuminator and receivers Build a working prototype of the concepts described in this work using software (e.g. GNURadio, MATLAB) and SDR hardware (e.g. RTL-SDR, USRP) Future Implementations Block diagram of the SDR hardware = - time delay from illuminator to target - time delay from target to receiver - time delay of direct path - distance between illuminator and target - distance between target and receivers - distance between illuminator and receivers - velocity of the transmitted wave Objective To demonstrate radar capabilities with a software defined radio platform Flow chart of passive radar signal processing Full System Implementation Matched Filter Simulation Matched Filter Theory Single Path Prototype = 0 max = ( + ) + = ( + ) - output of the matched filter - direct path received signal corrected for - reflected path received signal The matched filter peaks when the signals are most correlated. = 1 V p-p frequency sweep from 1 10 kHz = 1 5 − 1396 + = 10 This material is based upon work supported by the National Science Foundation under Grant No. ECCS- 1405579. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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Bradley Natarian

Advisor: Prof. Rick Blum

Implementation of Passive Radar with a

Software Defined Radio Platform

Acknowledgement(s):

Jacob A. Gilbert and Jack L. Burbank – Johns Hopkins Applied Physics Laboratory

John W. Franklin – University of North Texas

Mark A. Richards – Georgia Tech

David and Lorraine Freed Undergraduate Research Symposium, Lehigh University

Electrical and Computer Engineering

Lehigh University, Bethlehem, PA

Passive radar:

• Uses the reflected energy of electromagnetic

waves from third-party sources (illuminators of

opportunity) to detect and track targets

• Does not require a transmitter

• Advantages compared to traditional radar systems

• Cost effective

• Can be used for covert operations

• Difficult to jam

Definitions

Software Defined Radio (SDR):

A radio system comprised of:

• Wideband, software independent

hardware

• Signal processing executed on a general

purpose processor

• Can be used to explore a wide band of

frequencies

Approach

A single SDR passive radar receiver will be

simulated and implemented to prove that it can

detect the time of flight from an illuminator to a

target to the receiver.

• Electromagnetic waves are transmitted from an illuminator of opportunity

• These transmissions are received via two paths

• A direct path from the illuminator to the direct path receiver with known distance, 𝐷• A reflected path from the illuminator to the target to the reflected path receiver with unknown

distance, 𝑅𝐼 + 𝑅𝑅• The transmitted signal can be recovered by subtracting the delay, 𝑡𝐷,from the received signal,

𝑆𝐷 𝑡 − 𝑡𝐷 , to obtain the transmitted signal, 𝑆𝐷(𝑡)• The time of flight of the reflected path, (𝑡𝐼 + 𝑡𝑅), can be calculated with a matched filter

• Time of flight can then be used to calculate the total distance from the illuminator to the target to

the receivers, 𝑅𝐼 + 𝑅𝑅

Principles of Operation

• Use three receivers to triangulate the

position of the target relative to the

illuminator and receivers

• Build a working prototype of the

concepts described in this work

using software (e.g. GNURadio,

MATLAB) and SDR hardware (e.g.

RTL-SDR, USRP)

Future Implementations

Block diagram of the SDR hardware

𝑡𝐷 =𝐷

𝑐

𝑡𝐼 - time delay from illuminator to target

𝑡𝑅 - time delay from target to receiver

𝑡𝐷 - time delay of direct path

𝑅𝐼 - distance between illuminator and

target

𝑅𝑅 - distance between target and

receivers

𝐷 - distance between illuminator and

receivers

𝑐 - velocity of the transmitted wave

Objective

To demonstrate radar capabilities with a

software defined radio platform

Flow chart of passive radar signal processing

Full System Implementation Matched Filter Simulation

Matched Filter Theory

Single Path Prototype

𝑀 𝑡 = 0

𝑇

𝑆𝐷 𝑡 𝑆𝑅 𝑡 − 𝑡𝑑 𝑑𝑡

max 𝑀 𝑡 = 𝑀(𝑡𝐼 + 𝑡𝑅)

𝑅𝐼 + 𝑅𝑅 = 𝑐(𝑡𝐼 + 𝑡𝑅)

𝑀 𝑡 - output of the matched filter

𝑆𝐷 𝑡 - direct path received signal

corrected for 𝑡𝐷𝑆𝑅 𝑡 − 𝑡𝑑 - reflected path received signal

The matched filter peaks when the signals

are most correlated.

𝑆𝐷 𝑡 = 1 Vp-p frequency sweep from 1 – 10 kHz

𝑆𝑅 𝑡 = 1

5𝑆𝐷 𝑡 − 1396 𝑚𝑠 + 𝑛

𝑛 = 10 𝑑𝐵 𝑜𝑓 𝐴𝑊𝐺𝑁

This material is based upon work

supported by the National Science

Foundation under Grant No. ECCS-

1405579.

Any opinions, findings, and conclusions or

recommendations expressed in this

material are those of the author(s) and do

not necessarily reflect the views of the

National Science Foundation.