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complex devices and materials can t be built with conventional methods, but must be designed in such a way that they can create themselves without human intervention. That is, just as a seed self-assembles into a plant, ma terials can be given instructions to grow into new forms. One of the earliest self-assembling materials is the liposome, a spherical, microscopic lipid (fat) capsule modeled after a cell membrane. Liposomes are used as experi mental transport vehicles for oral medications. Intelligent or smart materials are substances that can anticipate failure, repair themselves, and autonomously adapt to their environment. These materials change their shape, stiffness, position, or other mechanical char acteristic in response to temperature, mechanical stress, light, or magnetic eld. Current research is focused on ways of making materials intelligent able to learn from their environment, rather than simply adaptive. Al though there are military applications for the technology, the commercial market for intelligent materials is likely several years away. Mimetics are biomaterials that imitate nature, such as cables that con tract with the application of an electrical current, similar to the action of a muscle ber. Likely future markets include medical applications that call for arti cial muscles to replace diseased or damaged muscle tissue. Mimet ics are used now by the military for robotic propulsion systems.

Por linear SAH as shown in Fig. 11.4.1, a monost.a.t.ic radar moves along linear path at height H abo\'e the target region. The radar positiou u; Function of the anLenm:~ posil.ioIJ x as R(x) = xx - diJ + Hz. Therefore, the reccinxl signals can be written as

B(k. x) =

Query Builder is accessible from within the Code Editor when you re working with SQL Server stored procedures Query Builder refers to each T-SQL statement in your stored procedure as a query The Query Builder allows you to work with your query in three ways:

L e2Ikln(:I'I-r~1 J~,,(k) + I: e2ikIR(z)-rnlff~(k)

/1=1

fl:=]

(11.4.20)

Visually using the Diagram Pane at the top of the window Tabularly by entering values in a grid using the Criteria Pane Syntactically by building the SQL statements in the SQL Pane

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where dIe received sigllal is a function of wave lIUlnber k (frequency) and antenna position x. The field imaging is to correlate the received signal with a reference signal Ef.' and then sum over frequency I. m and azimutJull position x m . C'p(f() = and (11.4.2lb)

L L:E(J':m.Xf/)EQ(k",re-2ik,nI'R(:l:n)-r..1 (11.4.21a)

Continuum Model milestones (italics).

m:l "=1

for simplicity. The correlation defined above has well defined peaks when f 0 approaches the locations of the scatterers. It was shown that in circular SAR, the angular correlation imaging can give clear images. On the other hand, in linear SAR, spatial correlation imaging gives fine cross-range resolution and frequency correlation imaging gives fine range resolution. In general, frequency spatial correlation will give better performance in correlation imaging for linear SAR. The frequency angular correlation function (FACF) imaging is defined by

Any change you make to one pane is made to all the panes For example, if you modify the Diagram Pane, the modi cation appears in the Criteria and SQL Panes This allows you to see the T-SQL statement as it is being built An example query is shown in Figure 812

Cr(fo ) =

(11.4.22) The memory effect is avoided in the summation by choosing kd > K. The magnitude of the difference of the two wave vectors kd is given by kd = [(k m1 cos <PI sin el - km2 cos <P2 sin e 2)2 + (k m1 sin <PI sin el - km2 sin <P2 sin e2)2 + (k m1 COSel - km2 COSe2) 2] 1/2

(11.4.23)

where the angular pairs (e l , <PI) and (e2, <P2) are the orientation angles for vectors R(xnJ-fo and R(xnJ-fo , respectively. In the numerical simulations of correlation focusing, kd is chosen to be larger than ko /16, i.e., kd > K = ~6' where k o is the center wave number. Equation (11.4.22) reduces to FCF imaging with n2 = nl and to ACF imaging by letting m2 = mI. The FCF imaging is then given by

C~FCF)(fo) =

Figure 812 The Query Builder dialog provides features for building the T-SQL statements for your stored procedures Starting at the top, the window is divided into Diagram, Criteria, SQL, and Results panes

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(11.4.24)

Cr(fo ) =

(11.4.25)

For the numerical simulations of linear SAR imaging, 80,000 small particles are used to model clutter. They are randomly distributed in a layer region of 40>'0 x 40>'0 x 0.5>'0' Four targets are placed at positions of (10,14,0)>'0'

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