The development of effective anti-collision warning radars is a key step in the technological initiatives promoted to improve road safety, and efficiency of transport systems. The ultimate objective remains crash prevention, through an accurate knowledge of the location, speed, acceleration or deceleration of the nearby vehicles. Automotive radars provide an automatic vision of the environment where the vehicle is moving, to draw the information required for guaranteeing, as much as possible, safety for the vehicle and the passengers on board. About the expected performance, the target of an automotive radar is to have a high detection capability but also a low false detection rate; the analysis shown in this Chapter will be mainly focused on such figures. Traditionally, Short Range Radars (SRR) and Long Range Radars (LRR) have been used. Classic LRR solutions employ Frequency Modulation -ontinuous Wave transmission, that is very simple to implement but also prone to interfering signals produced by neighboring radars of the same type. To overcome this limitation, radars employing Spread Spectrum methods in Direct Sequence configuration have been introduced. All spread spectrum systems make use of pseudorandom codes, that determine the frequency spectrum occupied by the output signal, and control the spreading pattern of the system. The accuracy in the distance evaluation (that is of course an important result of radar detection) depends on the auto-correlation properties of the spreading sequences associated to each radar equipment; on the other hand, the ability to reject the interference due the other users depends on the cross-correlation properties of the whole set of sequences adopted. Another important aspect concerns the number of signatures available; in traditional techniques, this number depends on the sequence length, and the latter cannot be arbitrarily large, because of the constraints on the bandwidth. To improve these features and overcome existing limitations, the adoption of innovative sets of spreading sequences, such as chaotic and De Bruijn sequences, is investigated and evaluated as an alternative to more conventional solutions. This Chapter provides a brief introduction to Spread Spectrum radar applications in the automotive scenario, by highlighting the evolution from traditional to more advanced solutions, with a specific focus on the selection of innovative sets of spreading codes, and the theoretical evaluation of the performance obtainable.

Spread Spectrum Radar Technology for Automotive Applications: State of the Art and New Proposals / Spinsante, Susanna; Gambi, Ennio. - (2012).

Spread Spectrum Radar Technology for Automotive Applications: State of the Art and New Proposals

SPINSANTE, Susanna;GAMBI, Ennio
2012-01-01

Abstract

The development of effective anti-collision warning radars is a key step in the technological initiatives promoted to improve road safety, and efficiency of transport systems. The ultimate objective remains crash prevention, through an accurate knowledge of the location, speed, acceleration or deceleration of the nearby vehicles. Automotive radars provide an automatic vision of the environment where the vehicle is moving, to draw the information required for guaranteeing, as much as possible, safety for the vehicle and the passengers on board. About the expected performance, the target of an automotive radar is to have a high detection capability but also a low false detection rate; the analysis shown in this Chapter will be mainly focused on such figures. Traditionally, Short Range Radars (SRR) and Long Range Radars (LRR) have been used. Classic LRR solutions employ Frequency Modulation -ontinuous Wave transmission, that is very simple to implement but also prone to interfering signals produced by neighboring radars of the same type. To overcome this limitation, radars employing Spread Spectrum methods in Direct Sequence configuration have been introduced. All spread spectrum systems make use of pseudorandom codes, that determine the frequency spectrum occupied by the output signal, and control the spreading pattern of the system. The accuracy in the distance evaluation (that is of course an important result of radar detection) depends on the auto-correlation properties of the spreading sequences associated to each radar equipment; on the other hand, the ability to reject the interference due the other users depends on the cross-correlation properties of the whole set of sequences adopted. Another important aspect concerns the number of signatures available; in traditional techniques, this number depends on the sequence length, and the latter cannot be arbitrarily large, because of the constraints on the bandwidth. To improve these features and overcome existing limitations, the adoption of innovative sets of spreading sequences, such as chaotic and De Bruijn sequences, is investigated and evaluated as an alternative to more conventional solutions. This Chapter provides a brief introduction to Spread Spectrum radar applications in the automotive scenario, by highlighting the evolution from traditional to more advanced solutions, with a specific focus on the selection of innovative sets of spreading codes, and the theoretical evaluation of the performance obtainable.
2012
Vehicle Engineering
9780983585084
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/85752
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