£83.95

Artech House Electronic Warfare Signal Processing

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£120.00 £72.93 £83.20 £93.47 £103.74 £114.01 £124.28 09 June 2024 12 November 2024 17 April 2025 20 September 2025 23 February 2026

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5 days 4 days · current 5 days 11 days 518 days 27 days 32 days 7 days 16 days 0 130 259 389 518 £77 £84 £93 £95 £96 £103 £110 £115 £120 Days at Price

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Most common price: £96 (518 days, 82.9%)

Price range: £77 - £120

Price levels: 9 different prices over 625 days

Description

While previous EW exploited flaws in the analogue equipment to corrupt or degrade the sensor detection or localisation capabilities, EW is now an information battle. Modern autonomous threat sensors can readily detect and locate targets by incorporating state of the art high speed digital signal processing (DSP) algorithms that focus on the classification of targets via target physical features. As a result the autonomous threat has a significant advantage over attacking forces consisting of armoured vehicles, aircraft or ships. To elucidate the state of EW, this book focuses on the example of autonomous anti ship missiles (ASM) attacking a naval fleet rather than airborne battles, thus filling a significant gap in the EW literature. It describes modern DSP algorithms that have been published by ASM development personnel from several nations, including the People s Republic of China and the Russian federation and outlines instances where it has been successfully used against ships. The book elaborates on the mathematical techniques employed and the advantages of incorporating digital signal processing algorithms into the autonomous sensor. With straight forward DSP algorithms, ASM can rapidly identify and distinguish electronically generated false targets, passive decoys, chaff and true targets. Moreover, special sensor waveforms now proactively probe the targets for enhanced feature measurements, and modern multi-channel optimal DSP readily mitigates noise jamming.

Key Features

New Store Stock

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 March 2018
Listed Since
10 October 2017

Barcode

No barcode data available

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