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It is very important to help hearing impaired people to be able to do normal work as normal hearing people can do, such as driving a car. While there have been numerous studies in the field of speech enhancement for car noise environments, the majority of these studies have focused on noise reduction for normal hearing individuals. In this paper, we present recent results in the development of more effective speech capture and enhancement processing for wireless voice interaction between subjects with hearing loss in real car environments. We first present a data collection experiment for a proposed FM wireless transmission scenario using a 5-channel microphone array in the car, followed by several alternative speech enhancement algorithms. After formulating 6 different processing methods, we evaluate the performance by SegSNR improvement using data recorded in a moving car environment. Among the 6 processing configurations, the combined fixed/adaptive beam-forming (CFA-BF) obtains the highest level of SegSNR improvement by up to 2.65 dB.