Through-the-Wall Radar Imaging

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The device acquires echoes at different locations. As shown in FIGS.

The method can reconstruct a scene 60 behind a wall The system includes an antenna array 10 , transceiver 20 , and processor The transceiver can tranmit and receive radar pulses. The antenna comprises a set of one or more antenna elements The antenna elements can either transmit or receive as controlled by the processor.

The transceiver transmits one or more pulses 14 using one or more of the set of antenna elements 11 of the antenna array at a location in front of the wall. The transmitted pulse propagates through the wall 40 and are reflected by the possible objects 50 in a scene 60 behind the wall Reflected signals, impulse responses or set of echoes 12 corresponding to each pulse, are received by one or more antenna elements of the array 10 as described below. The received signals include primary reflections received via direct paths, and indirect secondary reflections received via multi-paths.

It is noted, that in some embodiments, an antenna element can be used to only transmit, or only receive pulses, or to transmit and receive pulses. The received signals 12 are processed by a method to produce an image 70 that reconstructs the scene 60 including the objects As shown in FIG. For processing purposes, the scene 60 is represented as a two-dimensional 2D or three dimensional 3D grid The grid can be a 3D volume of voxels, or a 2D array of pixels.

A radar pulse is transmitted through the 40 wall using the transmitting antenna positioned at a known location in front of the wall. A set of echoes, corresponding to the radar pulse, reflected by targets in the scene are received by a set of one or more of the receiving antennas at the location. An imaging operator A is determined as described in greater detail below. The operator relates the set of echoes to the points in the grid using the location.

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Using the imaging operator, a sparse delay kernel d that matches a response of a current image to a similar response in the set of echoes is determined. Based on the set of echoes and the sparse delay kernel, the current image is updated The transmitting, the receiving, the determining, the obtaining,and the updating steps are repeated for different known locations , in front of the wall until a termination condition reached, in which case the current image is ouputted as the reconstructed scene The termination condition can be a maximal number of iterations, or the end of an imaging session, i.

Alternatively or additionally, the termination condition is reached when a difference between the current image before and after the updating is less than a predetermined threshold. The different locations can be determine using a conventional locator device, such an inertial guidance system, a global positioning system GPS , acceleromaters, and the like, which are typically found in many modern mobile hand-held computing devices.

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The method and system as described above enables a user to identify the number, locations and shapes of objects behind the wall using one or more devices that can transmit and receive radar signals. The method produces a two dimensional 2D or three dimensional 3D image of a scene behind an obstruction, where the locations and shapes of the objects are identified in the image.

Through-the-wall Radar Imaging – Signal Processing Group – Technische Universität Darmstadt

For a transmitted radar pulse, the method uses a reflection of the pulse, i. Additional transmitted and echoes pulses at the different locations are used to improve the image of the objects.

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A spacing between the different locations can be non-uniform. The system can be embedded in a handheld or mobile device with one or more antennas and a display screen. To generate an image on the screen of the scene behind the obstruction, wall, the device is initiated by sending a pulse from one or more of the antennas. The antennas are then switched to receiving mode to measure reflected pulses a set of echoes from objects behind the wall.

40 Years of Research Impact

The device continues to send and receive pulses at different locations. The different locations improves the quality of the image of the objects behind the wall. The system can also have a standalone transmitting antenna with a handheld or mobile device with one or more receiving antennas and a display screen.

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In this case, the transmitting antenna sends a series of radar pulses that propagate through the wall and reflect off objects behind the wall and are measured by the antennas on the mobile device. The device is moved to measure reflections at different locations. With every new measurement, the device uses the imaging method to improve the image of the shapes and locations of objects behind the wall. In an alternative embodiment as shown in FIG. In this embodiment, the device includes the transceiver 20 coupled to the antenna 11 and a memory However, the device does not have sufficient processing power to process the echoes. In other words, the device is a low-complexity device that does not process the received echoes itself Instead, the device only transmits and receives, and the locations and echoes are stored in a memory Periodically, or on demand, the data, i. The periods can be regular or irregular. In this case, the processor is not co-located with the transceiver. In addition, the data can be transferred in batches when the amount of memory available during the off-line phase is limited. Preferably, the batches are transferred in a random order with respect to the different non-uniform locations The objective is to identify the number, locations and shapes of the objects, and to remove ghosts using only received signals r t, n r , n s , and the source waveform, i.

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Ten Year Review — Janice J. Research emphases of the Center for Advanced Communications encompass several aspects of advances in broadband wireless communications and RF acoustic sensing, and imaging. Some research activities include:. Villanova University College of Engineering is committed to an educational program that emphasizes technical excellence and a liberal arts education within the framework of the University's Augustinian and Catholic traditions. As a community of scholars, we seek to educate students to pursue both knowledge and wisdom, and to aspire to ethical and moral leadership within their chosen careers, their community, and the world.


College of Engineering. New Releases. Description This thesis reports on sparsity-based multipath exploitation methods for through-the-wall radar imaging. Multipath creates ambiguities in the measurements provoking unwanted ghost targets in the image. This book describes sparse reconstruction methods that are not only suppressing the ghost targets, but using multipath to one's advantage. With adopting the compressive sensing principle, fewer measurements are required for image reconstruction as compared to conventional techniques.

The book describes the development of a comprehensive signal model and some associated reconstruction methods that can deal with many relevant scenarios, such as clutter from building structures, secondary reflections from interior walls, as well as stationary and moving targets, in urban radar imaging. The described methods are evaluated here using simulated as well as measured data from semi-controlled laboratory experiments.

Product details Format Paperback pages Dimensions x x 7. Other books in this series. Add to basket. Back cover copy This thesis reports on sparsity-based multipath exploitation methods for through-the-wall radar imaging. Table of contents Introduction and Motivation. Learn about new offers and get more deals by joining our newsletter. Sign up now.