Order Statistics Hybrid Acquisition of PN Sequences for DS/SS Communications
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Hybrid acquisition schemes for pseudonoise (PN) sequences have been introduced as a compromise between system hardware complexity and acquisition time. However, all the hybrid acquisition schemes use the fixed threshold decision. Since the received signal levels in mobile communications are unknown and location-varying, acquisition schemes with fixed thresholds cannot provide satisfactory performance. This fixed threshold scheme may cause too many false alarms or result in miss detection for a selected threshold value. In this paper, we present adaptive hybrid acquisition scheme of PN sequences which estimate the background power level, multiply it with threshold coefficient to keep the false alarms constant, and use it as a threshold. The mean acquisition time, detection probability, and false alarm rates are analyzed.
Abstract
Hybrid acquisition schemes for pseudonoise (PN) sequences have been introduced as a compromise between system hardware complexity and acquisition time. However, all the hybrid acquisition schemes use the fixed threshold decision. Since the received signal levels in mobile communications are unknown and location-varying, acquisition schemes with fixed thresholds cannot provide satisfactory performance. This fixed threshold scheme may cause too many false alarms or result in miss detection for a selected threshold value. In this paper, we present adaptive hybrid acquisition scheme of PN sequences which estimate the background power level, multiply it with threshold coefficient to keep the false alarms constant, and use it as a threshold. The mean acquisition time, detection probability, and false alarm rates are analyzed.