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		<title>Fundamentals of Satellite Navigation</title>
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		<description><![CDATA[Concept of Ranging Using TOA Measurements GPS utilizes the concept of TOA ranging to determine user position. This concept entails measuring the time it takes for a signal transmitted by an emitter (e.g., foghorn, radiobeacon, or satellite) at a known location to reach a user receiver. This time interval, referred to as the signal propagation [...]]]></description>
			<content:encoded><![CDATA[<p><strong>Concept of Ranging Using TOA Measurements</strong><br />
GPS utilizes the concept of TOA ranging to determine user position. This concept<br />
entails measuring the time it takes for a signal transmitted by an emitter (e.g., foghorn,<br />
radiobeacon, or satellite) at a known location to reach a user receiver.<br />
This time interval, referred to as the signal propagation time, is then multiplied<br />
by the speed of the signal (e.g., speed of sound or speed of light) to obtain the emitterto-<br />
receiver distance. By measuring the propagation time of the signal broadcast from<br />
multiple emitters (i.e., navigation aids) at known locations, the receiver can determine<br />
its position. An example of two-dimensional positioning is provided next.</p>
<p><strong>Two-Dimensional Position Determination</strong><br />
Consider the case of a mariner at sea determining his or her vessel’s position from a<br />
foghorn. (This introductory example was originally presented in [1] and is contained<br />
herein because it provides an excellent overview of TOA position determination<br />
concepts.) Assume that the vessel is equipped with an accurate clock and the<br />
mariner has an approximate knowledge of the vessel’s position. Also, assume that<br />
the foghorn whistle is sounded precisely on the minute mark and that the vessel’s<br />
clock is synchronized to the foghorn clock. The mariner notes the elapsed time from<br />
the minute mark until the foghorn whistle is heard. The foghorn whistle propagation<br />
time is the time it took for the foghorn whistle to leave the foghorn and travel to<br />
the mariner’s ear. This propagation time multiplied by the speed of sound (approximately<br />
335 m/s) is the distance from the foghorn to the mariner. If the foghorn signal<br />
took 5 seconds to reach the mariner’s ear, then the distance to the foghorn is<br />
1,675m. Let this distance be denoted as R1. Thus, with only one measurement, the<br />
mariner knows that the vessel is somewhere on a circle with radius R1 centered<br />
about the foghorn, which is denoted as Foghorn 1 in Figure 2.1.</p>
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" alt="" /></p>
<p>Hypothetically, if the mariner simultaneously measured the range from a second<br />
foghorn in the same way, the vessel would be at range R1 from Foghorn 1 and range<br />
R2 from Foghorn 2, as shown in Figure 2.2. It is assumed that the foghorn transmissions<br />
are synchronized to a common time base and the mariner has knowledge of<br />
both foghorn whistle transmission times. Therefore, the vessel relative to the foghorns<br />
is at one of the intersections of the range circles. Since it was assumed that the<br />
mariner has approximate knowledge of the vessel’s position, the unlikely fix can be<br />
discarded. Resolving the ambiguity can also be achieved by making a range measurement<br />
to a third foghorn, as shown in Figure 2.3.</p>
<p><img src="image/png;base64,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" 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Z27/mBka5eaqtgw5HSCrZncXncRWOapr1Xm7PvCeZAZ01PEAtOL2E5zB/zaQdZsiy7PWYNvsuDkXGVbjhiGIa/FU8Iu+DlEVhzBd1ZjpdReQKeZ1gmDPqzPJttA1Om3NNWFRuOQJPKmZzkAba5ApgtBtpZbj8YHKDruiAIe/bsGRkZ8fir3XudQN2qfFvZgqNtyD79O6e4QXCdhTNayySTycAmHd53XcHYSwfjCHuh+vLDEx9/fjnY2x3JshyQdCGgznJ8JRa+sctbHi8nDTmpI6uq5z/b5ZeBYA55RX/iC9AzQGEk6AYBdRaObKgCX9aVhtEPxZeTz57rWfPjg/2XyvkQiJXKD6ttCzAUiYNhOVvobT5BdBb0GfN9XV3CDri83B4NuhHnizI73L12yTe/095/teSfQ9Wy/FiJ6WzLHorBcYUrcM5ycKG7wOL9NrRQj5/7XdZQl/QPv3yu+fYn+69mi/6VbdjyMyboc6goIqMQew1rvxviCsFyFuxFzuu19BLLsirtfavx6woLW1ODXQ/s7h35sGdN3bGBIpGWHXGUmckahmGPe+KgaADy5bIAEixnKYqC490dpNIxmbUAm2DPhD+5m2dffLA+8mz0xKHwj38Yfe/GvIPLX3XeMAyYHEN/rb0i7CoecxluaQLkLMgKOVuDnAYKzOXeKyFvo9NrqegWue8CgarW8s7UjZx9GNS/yhn8qes6FNodmeNNIVyuXhkUZ0FWGLTdjL0kf9ZeLBZzKWBZdEP5clYQhOnQdibIpa1s7AGx3NRwg+IsVVUxK/QAqHOBDiRJcjzsgpHACw3vBGGVeDPlrzPjnlgphCdtBcJZpW90xA3S6TQ8J46vXQdDVeZ/2kIzq+evRcXHo1sp3GgrEM6SJAn3IvcF8IW954UkSbFYrMZcDNL8Z599VlEU2BVC07Q333yz4IGE3SVwzc98+NAW/86C129wsgBqSafTsVjMXukU/KXrehUK27Nnz/zVB/fs2aPreiwWK1hbPZ1OB1xV+XCwkAnnzoJ3chAmYTGEZVnpdBqCIMjXQjN7Qyy6e41hGDCufSFwD5tFYV1bnDsLesfxNUszlmWBiTRNs9O9ElYqAXqqHFhfmJdnZ0GQxfQkDGQ+JYzG96gFB3FwwQzv4dlZ0OnudysQhynhLHbzHe8ptWAG3XDrLAiyWO8iQeZTdPufUCiE76dKgTPJ3Bggbp2FQRbHbNq0CRNDR4B6PFt1QD6dhZUsvtm2bVtdXZ1tq+9///uYFVYH1OPZKmzx6axkMondhbySN1OamKYJkxzYihSoYu6CGQzAp7Ngx1C/W4E4T9EHDMaO+tUkDsh/DdAPh86CNWdYuQBIRRRNZGB9Owyra0EURVbmt3HoLEVRWDn7SEXACPj5byPsI64dhtYR4M1ZpmmycuqRiig9DQtmMnrcJM6A9Zr8bsXi8OasZDLJxHlHKqX0NCyoc2HvYS3App/0F+N5c5YoiiwO7UVKA+Fz6ewPForwrElcwsT8XK6cBS9brL7zRzlpCwxw8aY9vMLEOihcOQuLGlxSTpBFsJTpEPSHWlw5SxRF+rNxpFLKrw1LkoQDtWqE/lCLH2dhYsglFY1jwB4YR6B8ri4/zqL8RCPVUdE0LEgPsfewRizLKicZ9wt+nIXdRlxSaUcwTttyBFVVqZ04zYmz4M2A9VfOqGIaFuxh4V6TAgLNM885cRbc3H63AnGYKt72cCfQ3O3FCtQOdeTkOce3K39UV1XBiNspqO3Q4MRZkiRhFYMzYOXfKiImvBkcATo0KFz9lRNn0XlykVqoen0ODLqdgs5+LR6cBfVCLGFwRtXd7VjcdAo600MeLq2maThlhzNqKaXjKC2noPNM8uAsRVFwxgZn1Jjf4RKATkHhfDgenMVvzXVyLNG2MvxUZ7Sr7/zEggeloiujqcnKPjk7PvSqvOr2ZRX/oUfUeE1lWeb0lvAaVVVpW/WXB2fxW4CfHEtEGhOLROZVOYvk/n7lbwPPVvGHHgDjFWq5pliGdwpYa9/vVsyBeWdxPTU631lXB1850Cwf2td0ID74l8Hu9raOJ3+6apkQTU2kosuWrml9el/DhmNvXzJnDzv7u86l99TX73juhfa8A2YdVZ3sPKD2IjqdxWMWobCkxbyzoNPQ71a4RF5u+KdeeV33cJZkh7vrxfXr1nUPZ7NX+59cHk1NpKL3Hh24QcZTUanzjddmD9sV2bsimpokk/kHpMZnP51WZ2maVmOUxPVd4TW0lbSYv65cdxrmxVmX++Y5a+py34G7o6mJafWUctbsASw4S5blGocFURgdsEvtl8NZeHAWv5WLublh977m9p8dbNrX85GhH2tubH9ib/29hc5KjcwedvZ3nWw6y5EXO79VTq+h7RFj3lm0vQQ8JHu1v+OhrsEpv9vhOI7oRhRFHO7gCLSN0aWoKdURxF7t7MfxHTsPRTtam070j970uzUO49SsBl9vjExveHVjx4nO5/s+XeiVMpmCKLgybp6LP7pdPtK6fs1zZ65la21medA2z4R5Z9FWIERqxKm3ut/OivSOlRRSdc4iN698eT1HMr3h+vw0322oSrSZdxZVZxOpHaeqJ74O0bKdlR0fjO9u2n9cfmz3Kx+Oj3/QE9l7qOOxuqWrOwf6O5cue2jXwfatDYffHs0/7EoquuzO1esbfv7ikQeX1e3seHz7xkN/uJSb/fTcxVNty4/oXsVZhBCqlvdBZyF04ZSzfK0c27nh/+5sfaxneIJkz/Ws2//Ky/vru89lyaX+9i2dA/2dPzh25kZuMhVdGf3t6Yh92MHTbxyf6TPZfmzgamFElh3pO7Dj8NsXcqUa4DBUVWDQWQhdKIriSKeK386COOtCX2S+sy70RTZ1DvTn9eou5CypMzU+11nXh+N7d/zq7LiXxkJnOQhM8sBhOGRm26FQKBQKhWRZZvecOPV40OGs7Pjgy21N7c+272zr/mD80lvHtzYffLpt/Yq1c5317pW8w64UjE2ZddbUlYETdbfc19hxovQUVMehahkCtp2Fw50BVVVD82A0/OTCWaW51N/e3DVESzdcOVB1Mtl+4NFZZOYkzIfRCXdOOYvCeyN7/jePNT3V2dHWfOTNUe8K6A6AznIMCu9L7ykaZLEbajk1eAXvDQdBZzkG3peEEFmWeXKWU832996wLMt+l4iiSM9AgepAZzkGOotwF2fx4SxJkgquBdPaQmc5BjqLcFfPcspZuq77dQZgKD8flwNAZzkG1wv+VUDRUOuJJ57wu13VwEG/oaZpRd8ivjTGEdBZTsJoBuQ4uq7b+YiiKIcPHw6FQvSMqSkfDpyVTCbRWe7B8HkE0FkLAcEXc9riwFmff/75N77xjQJhMXch8kFnOQk6qwQsaot1Z1mWBQHvkiVLbGFJkkTPWi5VgHN3nEQQBKZ7ZNyGOW05tTmVU/MWK8IWlqqqpmkmk0lN0zi4P9FZTkLV2aQTtrTlVHzk/Y2RLywvv9cDJEmiZ5U6dFYgsLVFf4bi1DZfHu/Uy7GwCGUVGOadFYvFaNvnlk5AW/QXVpwac+flY8a3sGhbPYV5Z1HVo0E5TGjLqW2+PHMW38Ii9I3cpqgp1UHh3tw0o+s6/dqqXTeePWbcC4vQtyk3886i7SVAP/Rrq/ZSlDfbWwVBWMTnlfWLwMPTTlWBkAko11btwx08qBgERFiEvm4uHpwlCALuvlkpNGur9mTE7bWAgyMsQtmmO4QPZwV4K+maoFZbtU99d3U8UaCERduGrIQPZ2HXYdVQq60aY2f3ygWBEhahrwBP+HCWNwVXXqFTW7Ukd+6FBkETFqFsxx2Ah0fdqRE9gYVCbdXyetc0TZIkZ9tDAiksQl8xi/DhLIJl+JqhTVu1vIfcCA1M0wygsCCDoeSWsOHEWRRGsMxBm7aq3oDH8ReYaZqCIARNWIQQVVUprBRz4iwKK4UsAtoSBIGGRDsWi1WR4rmx3DZ8ZigUAo1S4nQPEASBnuUcbDhxFi4M7xT0aKu6a+rS28swDHvRfUEQYHksx7+FKiAxpPBncuIs4txenohhGIIg0KAtURQrHXnnapXANE1N0yBPDIVCsizTVp92EDoTQ8KTs5xa3xIhhGQyGRq0pWlapUGTN/1c+TuGcLDl6nwsy6K2X4sfZ9HZx8EuNGgLeg/LN4LH9wAEpFzW5mG5FDqfJn6cRQgJhUJ0vhkYhQZtKYpSfobicazNxHpk1SGKIrUi5spZiqJgeugsvmsLBrWXWQn2Mp1ZUFhjicYVUkf7trVH37l281z80e3ykdb1a547cy3rTcNqp6Jz7j1cOQv6vPh76fmL3ZPo101c5jvfy8SwVIQ1lmgMJ8ZuDBz7QTQ1efPKl9dzJNMbru9MjXvQMEeQZZnO6jvAlbNoLhyyhWEYMPPc7iMTRdEvZ4E0F/12zxLDRVJCcNblPnlV19AUIYTkLp5qW35EZyTOgiCL5gXpuHIWobiDln5sT9k7iUKAo+u672nCoqEW7LPgwetq8RrWWKJxRbh914bN3UM3CSHZkb4DOw6/fSHndsscgvIgi/DnLMpTcQpJJpN0eiqfRUMtb7YFKKvoPpZoDJ98/9T+B46+c41cH47v3fGrs+OMGIv+IIvw5yxCiCiKVC0FSzMQnkBvPW2eKqB0qCVJktv9XOX2EkJueHOoZ1Nj5//pqLvlvsaOE53Rrr7zE642zxHoD7IIl86qYiAij2R6w6sbn97fsObEwLXJ8aFX5VW3L4umJucdR9vU6IWAEnvREABm+bjaswnC8rEjwgNKnGGq4NBZnpU26CbTG470jplnjm7vTI3n/n7lbwPPrizmLDKjLVEUfZ+sU5qFogC3i5i2sCg/PzVC85isfDh0FsFKPCEzzhrpi0hdQxYhZDIVXchZhKap0SWAeKpgVimMlXfvFRUQYcE8SspjbYBPZ8HNTX+U6yaZ3vDqxscfW7Opx7iZI4s5izCirfmPlqulgIAIq+jLgFr4dBZhpJroJpnecCTxfmL3f39m4FqWlOEsQsGo90WxLEsURXscFozIc+lhC4iwCCGSJDH0sHDrLCZ6bd0EcsOrRveOLfGPs+U5i7CgLbiykAy6l9EER1iaprG1nQK3ziIYalUL/dqKxWLQPEEQ3BjXEhxhsZUVAjw7K/ChVvXQry1JkqCFjgdZwREWJNrMvdd5dhbBUKsGKNcWvJAcv7jBERYhRFEUVvoK8+HcWRhq1QLN2oL00NlRDoESFnNlLBvOnUUIUVUVh8VXDZ3assdkxWIxpx68ZDIZHGHBuBZGx13z7yzYnI6tKiNVUKit/JRfVdXa28bE2DSngAvKxJD3ovDvLMLUGF86oUpbBdPiYEt6URQrur6aptnHB1BYTC/nGwhnEULyByIiVUCJtqCrqyBGAG2VP80bUkuYXxlAYdE/H740QXEWFuNrhwZtQel9/iMHLivzaYQqWCgUuu2224IjrErNTi1BcRaZKcazfsH8xV9twYtnoa3DygwiYLpPKI94PO5OeymCjwgLCJCz4GZlt/RICX5pq2CmYVEymcyioQQkgwXwfVfwJCwSKGeRmfItf7v+eowv2looKywAMqASbRNFcb6zBEHg9a7gTFgkaM4iZd/6SGk81lZFLxtbW/OPh+wyH1iJm9f7AYJKVVV5+oGBcxbc0Dihp3ZsbbkdocAIu1gsVv6fWJYFg9oLxuXt378/31aMDqosE+hq4C/tDZyzyMzDhvtc1A6cSbdHVFfd2wXTUxRFgb+FIQ6hUOj+++/n21aWZcFeSlz+zCA6i8zEzLyWMLzEbW3VOMzdMAxBEGAoFqxoyuVjnE/+T/a7La4QUGcRh+Z8IIQQ0zQlSXJDW468WkzThKCjq6vLqYZRC+SDdmjJJcF1Fqkh6UAKgCqhs9qC5eicSuEhT5Qkide3lGEYoigGYWptoJ1lD572uyE84Ky23JjHC6O3wIM8vagsy4LwSpZljrdftAm0swj7c9ypYiFt6bpe0awpV2eZJJNJKPfwUf0inc8AAA5LSURBVNjSdR16b/n4OeUQdGeRmTE7qC1HmK8tGHNQ/uASD6bFmaZpt4rdKajpdBrGx8ZiMZ7CxkVBZxEyU+vF0Q+OkK8tUANQTtqy6Ch2BzEMA2rzzJkrnU5DyxVFCUIyWAA6axqmV26kDcuytm3bVsWcPlih3Msyeb656L/6uq5DbMWcZx0EnTULasspijpr0SlTPo4+MQxDURR7Kg9twYtpmvb696qq8tr1WSborDmgtmrHzg3ns9CJhXHbvg+Xy1eDoii6rvtbJ7IsS9d1CAPplKkvoLMKsaeV+t0QVoFnrChFNxPxsoZVJrquQ9hly8tLWZimmUwm7QaoqooTNvJBZxUBtVULEB0UXfIlNG+pWAqFZQM/BEpsMB41Fou55C/TNKHLAs4bjL/xPdCjE3RWcWDYC99zINzGLhItVInPZDIwppdCYRVgGIamaXYIKQiCLMuapsHQs0otZpqmYRjJZDIWi0FSDB8LnxnY4nqZoLMWhL/F0nwhv0gEwBMOU3lZPL1FdWNLpzQFnRKyLEPsRr+16QGdVQqY7UFn5sIW+QmjpmmwASo3a9FlMhnDMHRd1xYjnU4bhoG3Uy2gsxaB76WIvOeDDz545JFHQjiCF6kWdFZZ2Es+8hEX+IUdt2JHGFI16KxySafTUH/BwL46oFsDTyBSI+isCrBXj8O8piIsy4IOxKDN5kXcAJ1VMbB6XEDWKqodiE8xH0ScAp1VDXZdBgOuEtjhFQ5zQxwEnVU99nK9OAhwPvZadBheIc6CzqoJu8KlqiqmioC9ugtWrxA3QGc5AIyWhFQxyE9p/vqf2DmIuAQ6yxksy9I0DbKhABa5bFtxs846Qi3oLCexd0ARRTGZTAYh5rJtFahtFBAfQWc5T/5jzHG2mB9bcfwzEdpAZ7mFnS2GuFsP195DATNBxHvQWe6Sv56BJElMr+JmmqamafYeCjiIAfEFdJZHGIZhb5zF1mq5oF1Y4l0QhFgshqM6EB9BZ3lK/q4ElK+fi6uSI3SCzvKHAiNQsqiuZVnpdDoWi9lRFc1WRYIJOstnQBP25gW2v9LptDcpWCaT0XXd9pS9WYPvAkWQoqCzKMLefMXWh71kOERhtXc+GoaRTqc1TVNVNX95cviWdDqNIRVCOegseoElxmGvhIKttyRJgj0RVFUtsfq4oihwWNE/h2iOp0EYSBBAZ7EE7DEFgVKBlYqSbzTDMAzDwDAKYR10FoIgLIHOQhCEJdBZCIKwBDoLQRCWQGchCMIS6CwEQVjCW2eNJRqXLKvbEm7c85s//eHI3Xcd0a9lq/2sib/2Hd249NZblwgbj791MUcIIeTmh10Pr31ky4NC3bG3L06WasYK6dDPWzc2/XpwvGgDrKEuSe67QHLjX3wxnpsa7FrV3nd5qtqm2kyOJSKNCXs81My3LMjcZtT89ZU1byzRGE6MVfoRqejKaGrm1I+nolLnu3/sWtXed/mr8S8ujufI1FBXXaTvcpkfV1Ub3CY3fvGL8fk3w/XhxOEDr3+SJYQQU+/YCFc2O/q7jpaD3QOfjC1+BTO94dWNHb9JXfh///7kFmFJS+/YJCFmKn64cUVb79gkISR7XvufHYnh4jdtUPDeWXAlSG58+D/+MFzDg5ib+Gzo4/GpGwPH7rhl7+mLeffQjYFj370jTw3FmhFOjJFL/e1bOlPjJb5j7hNYOwXOKvvPHG7Ggt/jirPgDE+mOldU/htodFbej5old/PsS2u3vfpplhBCsuf/edudwrruc9npU3q+vOue6Q1HescmSe76lSufTP93/r8TQsjkxVP7Hnzh/ZtO/yqG8M1Zk6nosqXR1PhQvOnBui1b1q/43q3hRAb+cXI8FX1wWbT/TPTBbz/w4AP3dPR//tHJ1k0bt2+o2/j8mTnxzvXh7m3ffjh+fvbFc+PiwPMb79p3evSrUs0IJ8Zyn59u2dGTeje+a0vzU3sfefh4/+j46O+faZOf2H3o395PRBoTf34vuul79ZHn+n7/ejjSO2YOvhLZ2HRA3rJd6R/JjiUab7ln/d7HWze0xY3rhBBCJi8mn1jTFGnd0BY3ro4lWm5dukF+umV9/eZHtu7t2LU5HP/ws0TrHXfWt/3s8catUf3SxFgi0pj4cPCVA83yIXnzvcvujJ4ZgGc+/16HZux+/H98/1uRvstkYri7qTnx1xwhhEyOJVq+teKBuob/9S//tLch8kRb07H+0f/qDS9bVr+nY9dP1m/Z0hBpb93QFjdG8xo/9Kfo5rZTn+eyH8c3tTz/CzmvzXOd9d3l61ueOhhuPv7bX7d/90Df5anscPe6psRojhBCchff2Le6qX3X5nD83M3xD+Otj+07Lm+563tC9N0rg/HdTfuPRzbdvXR1Z2qoN9zW9S8n1t9eLz/X9+lIojH8+vBgvHXDjqcjDZuOvDmazfSGBaF+99O7Nofj527kf2y+s8YSjUuE9ZH21voNj2zZLj/dsnF7fPjGl4M99g//NClvan5858bt8eGJkf6n9+w7sv/wv2pRcOVYojF8MgWna9vL73/48mNbI0rLzqd//9nnRa7UoDk454Bv3bnhH55q2bg9PnxhoLP+3vWRF/rOT+TdUuOp6JaD/ZcIIST3+emWbZ0vtK+Mpia/HOisv3f9pgduXbJsfeSFvvNfDPbsbdjT2hB+deg/j92xZNlDu7sTLzWs7T6XJWSumxb6b0Ku9h+8x4s3GLX4lRueHHo3umzpM2/2PfmdjfFPczc+jW8v6qzvdejXydTlvgPfXvrgI+HNdUvvaT01OvNxU+Nn/3HjXS1xw37pTV3Wn2+sv/fbqx5/bejKgjHcWKJxRbh91+aGzreM5MH67nNZkr3a3/FQ13v/dXL3+kjPmbG/w9M7EzVkesOR3o9Oyeu6h7OEXO0/WNc1NJJo3Hoyk5sbm0xe+OD0L+VVyxsT58cSextOfpazb7jpZ2b32u5zWTIx3C1NK+kXL8x+7D1FnTXTjBvvdf6grXck3VXX0X8VJD3z7Zf75Nvr5RMnDoVXNybe7g23vZb5aiZImSz8lrpfpv/84gNNiZHBrrpI3+U5bZ7rrDXdw1mSHe5eG/6n3uhPmhPnBruap59MQgi5cfHs/+2KrP5W+PWP+uzT+OTy6G9PRx7rGZ4g05HsUG840psZ6Jx1x3Ndswc0dw2dm9tg+2MTYwXOmnPCZy7K7A//6+TFs6e75LpbWnpHzr22fbPcPTA28V7nHGfB317oi9y/PnK0s0NaGT6ZKnKlnuta8IAvi8VZtlZyN8++eP+a7uG/nGwIJ8Zyn722dW/v6Mevbd3bO3bz2kB0W/R3g2+/1Pzoy/2/2Qmqyv39ypXJ3NwPKfHf8/83cPgbZz3zZt+T31nTPZydGO7eMu2s7x47c+PKmaP3g7OWRVOTJHd94Pjy1b8a+irfQrmvzp/ccVf94d+PQKo58tnfZi7jZb3jvm+XKJrMPglTl/vynTU4RW6M/VF9ZNULfa+X4SzbCNPP+SW9o+W4fn7Q9pH9aBU6CwpVI9M2WdU1NEVyF0+13WU766vMybZCZ5GJ4e6mbbuaNs6mBjPffrX/4KoXP7g599Zf0FldQ199HH+4bn399hfPflqszTNnaU33cHa6AnVpuHtdw86fbnhp5lumrujHGo69dWGwe2349Y/62uu6BqfI5MVTkbujvz0dkbqGLJL7/HTLT8pzlt3g14dmP3aes+ac8ExvONJ7rm/2h3/51qGtUf2Lsz1rdveOTZLJ0T92bq974R+Pr4imJkkuc7Jh1lmX+tulF8+OzzmHc87bCz0LHlDUWRf6Zn/yusaOE50nIuvviqbM/oN1XUOX+w/WdQ1Njaei9esjnbHTZy9Owg8vmEdVnrOmBvNeWkGEktxQaqz/4a3hxOjl/zxet2xl/Zb1K/5bnrMI+eqTf9+37kf126QNu2OQiE2d6xFvv3XJN29d8s1bb9n7b+/0bLrniH7pbM+ObY2P1q+8c8tzA5dKxVn2kzD+YV5uOKoffkw+sqfx8O8+SEQaE5ns+Ve3r9rWduz5Zx8tlhsWOsscOLr1kZ3SxpU/XNv90efFnTWdGza3vDw4fnM6N+xu27jrCXn7gyvviqbG/nB4w/b2px576E7BlshMM94YvXCq7bZw/PyNmV9if/vVwVciG5uePLp390upj4o4K/HhnMaTqct9B77zcPx8tmibZ84S5IZN+3oGr5Lc56db7tsU/3jmWcleGzixdktz84Yf/3BN9/DVD3qatrQekcP3Lb87+u6VwV83b2hVIg0/XrF22lkj517btk5qefb0e68Wyw1nnXUu/2NHFnPW9EV58uje3S+9eerYmi0/bdrwo+UNPX9KHmmIKC07j7z1/tuHGhoeb/9pnfCtWWdlxwfjrRt2HPr53vCLZz4rcqWmW1jsgL9/erK17tE9x1/uav+B3Yk0OZrYs6773IRd1ZpMdd514I13flUf6bt8uU++b9v+7nc+eftEY8vhoy2RX334Xs+6g32Xp7Ln45se6BqarnaUdtZYf/umQ/rfJod7fjKTngcTSsY6XB/q2rz86MB1v9vhI7mLp9pW2bdv8UNunn2xrr3/qmdtyufm+y+uCvTrfRHG3+3cerhv9MbiRy7IQklf3r9Pfta7u63rI39uAUrw2Vm50X9tq9vc+Gj9j+7blzgfyCUHsh/Ht4cPPnt0JgJaiIlP+55razrWP+pDl9HU+eQzLTuf/n2J5iEkN37uzTOjNZwiMxV/vjP6aurLqYX+MTv63pslCrXBgJI4C0EQpCzQWQiCsAQ6C0EQlkBnIQjCEugsBEFYAp2FIAhLoLMQBGEJdBaCICyBzkIQhCXQWQiCsAQ6C0EQlkBnIQjCEugsBEFYAp2FIAhLoLMQBGGJ/w/1fNGMokeEHAAAAABJRU5ErkJggg==" alt="" /></p>
]]></content:encoded>
			<wfw:commentRss>http://www.navitel.ir/wp/fundamentals-of-satellite-navigation/feed</wfw:commentRss>
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		</item>
		<item>
		<title>Navigation devices</title>
		<link>http://www.navitel.ir/wp/navigation-devices</link>
		<comments>http://www.navitel.ir/wp/navigation-devices#comments</comments>
		<pubDate>Sat, 03 Sep 2011 22:03:42 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[GPS]]></category>
		<category><![CDATA[Navigation]]></category>

		<guid isPermaLink="false">http://www.navitel.ir/wp/?p=129</guid>
		<description><![CDATA[We develop and provide Iran GPS map for Navitel Navigator Software. To see sample of our Iran GPS map in Farsi click here. Iran GPS map in Farsi (Persian) can be installed on different personal navigation devices (PND), PDA and smartphones based on Windows Mobile, Windows CE, Android, Symbian platforms.]]></description>
			<content:encoded><![CDATA[<p>We develop and provide Iran GPS map for Navitel Navigator Software. To see sample of our Iran GPS map in Farsi <a href="http://www.navitel.ir/wp/products"><strong>click here</strong></a>.</p>
<p>Iran GPS map in Farsi (Persian) can be installed on different personal navigation devices (PND), PDA and smartphones based on Windows Mobile, Windows CE, Android, Symbian platforms.</p>
]]></content:encoded>
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